Book Description
The history of Iran in the late twentieth century is a chronicle of religious fervor and violent change -- from the Islamic Revolution that ousted the Shah in favor of a rigid fundamentalist government to the bloody eight-year war with Saddam Hussein's Iraq. But what happened to the hostage-takers, the suicidal holy warriors, the martyrs, and the mullahs responsible for the now moribund revolution? Is modern Iran a society at peace with itself and the world, or truly a dangerous spoke in the "Axis of Evil"?
Christopher de Bellaigue, a Western journalist married to an Iranian woman and a longtime resident of a prosperous suburb of Tehran, offers a stunning insider's view of a culture hitherto hidden from American eyes, and reveals the true hearts and minds of an extraordinary people.
Customer Reviews:
A ground level look at Iran.......2007-06-03
This is a well-written and engaging book. It provides a close look at Iranian society and culture. When it comes to politics it is not as relevant and clear as it could have been.
condemnation of the mullahs never materializes.......2007-05-25
Thumbing through Christopher de Bellaigue's "In the Rose Garden of the Martyrs," I smelled a rat.
Riddle me this: How is it that an Englishman who wrote what is being billed as a "searingly honest portrait" of life in modern-day Iran is not in, uh, jail?
How is it that he is permitted, to this day, to reside in unmolested luxury and comfort in a tony suburb north of Tehran? Wouldn't anybody "honest" be either imprisoned or shoved on a plane?
Answer: because his memoir is not "searingly honest." Or any kind of honest, for that matter.
That's right. de Bellaigue, who about a decade ago converted to Islam and married an Iranian, has managed to write a book about Iran that, while lovingly describing colorful characters, quaint locales, and heart-wrenching situations, never actually takes the trouble to specify where all the grief in this society is coming from! While he is competent at turning a phrase, his book ends up just flitting from anecdote to anecdote; he never manages (or bothers) to stitch his material into a more coherent (and therefore more condemnatory) narrative.
What's worse, de Bellaigue is, without hitting you on the head about it, apologizing for the mullahs, for the oppression, for the blood. Not that he does this directly, no. But every description, every episode in the book, each island of woe that drifts into view is allowed to drift right back out of view without our cicerone's ever clarifying the serpent in the basement. Well, no, sorry: not in the basement anymore.
If I were Iranian, I'd be fuming.
I'm not even sure why de Bellaigue wrote this thing. I charitably stuck through the whole tour, waiting for it to take off, but it never did. In fact, I only realized what de Bellaigue really was when I was about halfway into it: a whitewasher of atrocities.
Chris, if you're reading this: Shame.
Almost Amusing... Fails to Delivers.......2006-09-04
'In the Rose Garden of the Martyrs' is more or less enjoyable to read, but not quite as advertised. It is definitely a personal account which adds much flavor to the book but tends to be choppy and seems to lack any real purpose.
While it does focus to some degree on the difficulties that the revolution now faces in Iran, it fails to tie these accounts together in any meaningful fashion. If this was the first book one was to read about Iran, it may prove difficult as it is taken for granted that one has a fair amount of background knowledge regarding Iran.
If you are one who reads about Iran often, this book would also be worth reading. If you want your first picture of Iran- choose something different such as 'Persian Mirrors' by Elaine Sciolino.
Are we talking about the same Iran?.......2006-05-26
The book is so biased. It gave me this impression that the author closes his eyes to all aspects of Iranian culture and sees only what he wants to see: miserable, uneducated people possessing unrealistic ideas. This false attitude gives him some self satisfaction of being an European, which I believe makes his book intolerable.
He is concerned with the lives and thoughts of Iran-Iraq war veterans but he cannot put it into the right context. He even fails to see how ideas of this unfortunate -but brave- minority differ from the majority of Iranian middle class who are highly educated.
I lived 23 years in Iran and most of what I read in this book was totally new to me. He managed to invent "an average Iranian" which is too of a stranger to me. Are we talking about the same Iran? I do not know where the author has lived and which part of society he has been in contact with.
In summary, he hates Iran and he cannot put his feeling away when he writes a book on Iran. This book only suits a narrow-minded reader who does not have any idea about Iran, still feels obliged to read some thing-no matter what.
Good idea, complicated execution.......2006-03-04
Christopher de Bellaigue's book sounded like a great idea - an outsider now living in Iran looking back to the Revolution and War (the one fought against Iraq in the eighties) through the eyes of some of its protagonists. The issue is the book's "complicated structure" (to quote an apt phrase from a previous reviewer). I bought the book regardless thinking, "how difficult could it be?"
Ummm...quite. The book is best described as a stream-of-consciousness collection of loosely connected vignettes. While de Bellaigue's knowledge of Iran and its rich history is impressive in both its depth and breadth (that I should know a subject so well!), there are uneven and choppily paced intersections of 13th-century holy men, the author rummaging around various cities and his transcription of "ah, my war gone by, I miss it so"-type reverie from his interview subjects. Again, great it theory, but in practice, well, it was really dificult to get any traction while reading this book.
Book Description
This digital document is an article from Cross Currents, published by Thomson Gale on June 22, 2005. The length of the article is 1334 words. The page length shown above is based on a typical 300-word page. The article is delivered in HTML format and is available in your Amazon.com Digital Locker immediately after purchase. You can view it with any web browser.
Citation Details
Title: Hobson-Jobson clarified-more or less.(No god but God: The Origins, Evolution and Future of Islam)(In the Rose Garden of the Martyrs: A Memoir of Iran)(Book Review)
Author: Peter Heinegg
Publication:
Cross Currents (Newsletter)
Date: June 22, 2005
Publisher: Thomson Gale
Volume: 55
Issue: 2
Page: 274(3)
Article Type: Book Review
Distributed by Thomson Gale
Average customer rating:
- History at its best
- Out in Front
- 'A swordsman when I found him; a Paladin when I lost him'
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The Emperor's Friend: Marshal Jean Lannes (Contributions in Military Studies)
Margaret Scott Chrisawn
Manufacturer: Greenwood Press
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Binding: Hardcover
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ASIN: 0313310629 |
Book Description
An examination of the life of Marshal Jean Lannes, this study looks at the career of the only soldier of any rank who consistently said exactly what he thought to Napoleon at every stage of their amazing careers. The marshal not only survived these frank encounters, he was well rewarded for his abilities, which were remarkable even among the stellar senior officers who served the Emperor. While Lannes was best known for his military skill, especially as an advance-guard commander, his unconventional three-year diplomatic career was equally noteworthy, since his diplomatic tactics resulted in particular benefits for France. His career spanned much of what many historians and readers believe to be one of the most fascinating and controversial eras in French history. The marshal's personality and his tendency to lead by example rather than by orders won him the respect and the affection of his troops. He also charmed a diverse number of his contemporaries, from autocratic rulers to literary icons. Although his relationship with Napoleon was stormy at times, he earned and kept the Emperor's friendship and esteem. Chrisawn avoids the tendency of previous biographers to either canonize or condemn the marshal, providing instead a balanced treatment of her subject which includes both his strengths and his shortcomings. Marshal Jean Lannes emerges as a complete person within the context of his own intriguing world.
Customer Reviews:
History at its best.......2002-03-10
I loved this book, its biggest problem is that it is too short and you sometimes feel that the authoress has picked the highlights of each campaign and missed out on another data. Saying that the information that is included is informative, well presented and gives an unrivalled picture of Lannes's personality you leave the book feeling like you know him. I have no problem in recomending this book to anyone and hope that more books of this nature will appear in future.
Out in Front.......2001-10-26
MS.Chrisawn, a protégé of noted Napoleonist Dr. Donald Horward, has done students of the Napoleonic era a favor by producing a work on one of the foremost combatants of that period, Marshal Jean Lannes. While one can catch a glimpse of Lannes here and there in various volumes, e.g. Marbot, Caulaincourt, or DeSegur, it's certainly rewarding to finally have an affordable, English-language biography in print. MS. Chrisawn believes, and i have to concur, that too often members of the marshalate who missed the Russian campaign, fighting against Wellington, or going down to defeat at Waterloo, just aren't worthy of study. Dr. Horward must agree since he penned the Lannes chapters in David Chandler's NAPOLEON'S MARSHALS. The author bustles her prose along like the commander of an advance-guard but supports the text with indefatigable research among primary documents. The volume is happily shot through with excellent maps by Max Sewell. I enjoyed the work, learned a great deal about the protagonist but came away a bit disappointed with Lannes. I was surprised at his disobedience of orders, his often two-faced personal relationships, his really bad manners, and his complaining. I came away thinking him a competent corps commander but a touchy, hard to deal with subordinate, and a difficult comrade. I enjoyed the author's zesty "purple prose" which I'm sure irritated Dr. Horward, and am happy to fill another gap in the ranks of the marshalate on my shelf.
'A swordsman when I found him; a Paladin when I lost him'.......2001-10-16
Jean Lannes was one of the most talented of the French marshalate that served Napoleon and undoubtedly one of the most underrated. Starting as a lowly subaltern in a home-grown infantry unit from his native district, he grew into a thoughtful, aggressive, and intelligent corps commander who always did more than his assigned duty. He improved throughout his career, taking time out each day for professional study, learning to control a murderous temper, and was completely loyal, though also completely outspoken, to Napoleon. Blunt, loyal, and at times thoroughly uncombed (as when he told the traitorous foreign minister, Talleyrand, that he was nothing by a 'silk stocking full of [human excrement] to his face), he was also one of the leading soldiers of his day and contributed mightily to the success of French arms. His early death from wounds received in action at Essling in 1809 immeasurable hurt the Grande Armee, and the subsequent promotion of three generals of division to the marshalate at the end of that compaign prompted the army to dub them 'Lannes small change.'
In this new biography of Jean Lannes, author Margaret Chrisawn has hit the proverbial nail on the head. Blunt and outspoken as her topic, she has written one of the best, if not the best, biographies of one of Napoleon's generals that this reviewer has ever read. Thoroughly researched and documented, this book belongs on the bookshelf of every Napoleonic historian and enthusiast, and is definitely in the front rank of Napoleonic scholarship.
The author has captured the tone and spirit of the times and of her subject. Accurate and anecdotal (as when she quotes one of Lannes' neighbors who saw him as a general during the course of the wars on a return home, she still referred to him as a 'little twerp'), it is a lively account of one of the thorough roughnecks who made up the Grande Armee, yet does carefully recount how he continually strove to improve himself.
The author has also unearthed new material from extensive research in France and for a time stayed in Lannes' home district in France and in his hometown, tracing his descendants to get a feel for her character, both as a soldier and as a man. There is much personal material in this excellent volume, more than is generally expected in a biography of this period in history. The book definitely has more than its share of a 'whiff of grapeshot', yet paints Lannes as an entirely human person, and lets you know what and who he was.
Lannes is a thoroughly complex character, both admirable and mysterious. Typically, he exemplifies the men from varied backgrounds and who made up the top rank of the Grande Armee, those who actually, and quite literally, found a baton in their knapsacks. Lannes' relationship with Napoleon is carefully reconstructed here, being both loyal and tumultuous. His two interesting marriages, along with the character of the women he married, is also carefully recounted and is one of the areas in the book where new material has come to light because of the author's dedication to her subject. She writes as if she knew the man personally, and perhaps she really does, having walked in his footsteps in Europe. If other historians were as careful and meticulous as she, Napoleonic scholarship would reach a new high across the board.
The author paints a colorful picture of this most colorful of generals. She also carefully lays out a career that was just reaching its apex when he was killed. The conclusion of the book is interesting, and, in my opinion, most accurate. The author believes that Lannes would have made a definite impact in Napoleon's favor had he lived, a sentiment with which this reviewer heartily concurs. The author is a careful historian, skillfully weaving her tale of personal life and derring-do, and, although she admires her subject, she is also very critical of him and this shows in her narrative of both his professional and personal life.
This book is a keeper. It is a joy to read and is high quality, reliable reference material. The author with this first volume to her credit has taken her place with other Napoleonic historians of the first rank and we should all be looking forward to her next effort with great anticipation.
Book Description
This completely revised second edition presents an introduction to statistical pattern recognition. Pattern recognition in general covers a wide range of problems: it is applied to engineering problems, such as character readers and wave form analysis as well as to brain modeling in biology and psychology. Statistical decision and estimation, which are the main subjects of this book, are regarded as fundamental to the study of pattern recognition. This book is appropriate as a text for introductory courses in pattern recognition and as a reference book for workers in the field. Each chapter contains computer projects as well as exercises.
Customer Reviews:
A best book on Statistical Pattern Recognition.......2005-09-13
Multivariate analysis is borrowed to name a NEW subject, Statistical Pattern Recognition (SPR). Many statisticians think it unfair or a shame. In spite of these, it is a good reference book of SPR. :-)
[1] Many contents of this book can be found in any graduate textbook of Multivariate Analysis, for instance, Fisher's linear disciminant, etc.
[2] The book is badly printed. Why not using LaTeX?
[3] Guassian distribution is assumed here and there.
[4] It may be good as a reference book, but definitely not as a textbook.
Standard reference and a classic text but with flaws.......2004-01-20
I do not like to consult this book for the following, quite superficial reason. The book is sloppily produced and proofread
(and the fault is [probably] mainly the publisher's instead of the author's). This manifests itself, e.g., as follows
(1) the typography is flawed (the equations hurt at least my eyes);
(2) at its each appearance, the all-important >
< -sign goes the wrong way.
good coverage for engineers.......2000-08-04
Fukunaga is a standard source for pattern recognition methods often cited in the engineering literature. Covers parametric (particularly linear and quadratic discriminant algorithms) and nonparametric methods (density estimation). It is designed for and popular with engineers. When I was working at Nichols Research Corporation Fukunaga's papers and this book (earlier edition) were often cited as sources to justify the algorithms we used for discrimination problems. In fact Fukunaga had been a consultant to the company (used primarily by the Boston branch of the company where the KENN algorithms were developed). It is a reputable source. I still like Duda and Hart (1972) for good explanations of the fundamental concepts. For statisticians McLachlan's book is now far and away the best source.
Standard Reference in the Field.......2000-04-06
If you are writing a machine learning paper, and need to cite something to support an argument, you can almost always cite Fukunaga. This work is a standard reference in the field. The presentation of most material is very terse, but that is great if you already have a good feel for the material and need to look up some details about some algorithm or technique. There isn't much about neural networks here, but for the rest of the pattern recognition techniques, this is almost always the first place to start. Another strong point for this book is the use of realistic examples, which illustrate many of the statistical techniques.
Book Description
Computer Manual to Accompany Pattern Classification and its associated MATLAB software is an excellent companion to Duda: Pattern Classfication, 2nd ed, (DH&S). The code contains all algorithms described in Duda as well as supporting algorithms for data generation and visualization. The Manual uses the same terminology as the DH&S text and contains step-by-step worked examples, including many of the examples and figures in the textbook.
The Manual is accompanied by software that is available electronically. The software contains all algorithms in DH&S, indexed to the textbook, and uses symbols and notation as close as possible to the textbook. The code is self-annotating so the user can easily navigate, understand and modify the code.
Customer Reviews:
Underwhelmed.......2007-04-04
Talk about over-hype from reviewer #1!
This "manual" is thin on substantive content, with TONS of whitespace & whitepages to stretch it out to ~125pages. The documentation of the code should be available as a PDF with files on MATLAB's file exchange or on the publisher's website. Save yourself some $$.
Excellent toolbox to learn & use........2004-07-09
I was one of the early access recipient of this toolbox and found it extremely useful. It basically has a whole bunch of cleaning and classification algos.
The toolbox also allows one to extend its use with new algorithms, tweaks or to use our dataset. As long as its formatted in the same fashion.
I would strongly recommend this toolbox, if you are looking for additional material, another book worth having is Christopher Bishop's book.
Average customer rating:
- not intuitive enough
- Excellent
- centred around clustering methods
- Pattern Recognition
- An interesting pattern recognition book
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Pattern Recognition, Second Edition
Sergios Theodoridis , and
Konstantinos Koutroumbas
Manufacturer: Academic Press
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Pattern Classification (2nd Edition)
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ASIN: 0126858756 |
Book Description
*Approaches pattern recognition from the designer's point of view
*New edition highlights latest developments in this growing field, including independent components and support vector machines, not available elsewhere
*Supplemented by computer examples selected from applications of interest
Pattern recognition is a scientific discipline that is becoming increasingly important in the age of automation and information handling and retrieval. This volume's unifying treatment covers the entire spectrum of pattern recognition applications, from image analysis to speech recognition and communications. This book presents cutting-edge material on neural networks, - a set of linked microprocessors that can form associations and uses pattern recognition to "learn". A direct result of more than 10 years of teaching experience, the text was developed by the authors through use in their own classrooms.
*Approaches pattern recognition from the designer's point of view
*New edition highlights latest developments in this growing field, including independent components and support vector machines, not available elsewhere
*Supplemented by computer examples selected from applications of interest
Customer Reviews:
not intuitive enough.......2007-04-17
Just a quick browse through, I find that the materials are not intuitive
enough. I tried to look for the explanation for Figure 6.21, but did not
find clear explanation. Some of the deeper stuff probably can be
generated by readers once the basic stuff is discussed in detail and
intuitively. In general, for someone with an excellent math background
tries to go into the pattern recongnition field, this is NOT the book.
Excellent.......2006-12-05
Many who work in artificial intelligence have commented that it is the ability of the human brain to engage in pattern recognition that gives it true intelligence. Without a quantitative measure of machine intelligence it is difficult to assess this claim, but there is no doubt that being able to implement pattern recognition and classification in a machine in a manner that enables it to distinguish objects, find profitable patterns in financial time series, teach itself how to play a game by examining the moves, identify subsequences in genome data, identify malicious behavior in networks, and detect fraudulent behavior in mortgage contracts would be a major advance in artificial intelligence and also a profitable one from a financial standpoint. Even if the machine required assistance from a human to do these tasks it would still be very useful. If it were able to do them on its own without any supervision one could justifiably describe it as being more intelligent than one that required such supervision (the counterexample to this imputation of intelligence is simple trial-and-error, which of course is unsupervised).
This book is a formal treatment of pattern recognition that is geared to a readership with a strong mathematical background and which makes as its major theme the difference between `supervised' and `unsupervised' pattern recognition, with this difference sometimes being more qualitative than what one would like. In the introduction to the book the authors make clear the distinction between these approaches, motivate the problem of the classification of features, and outline briefly the stages in the design of a pattern classification system. As is well known, supervised pattern recognition involves the use of training data, whereas unsupervised pattern recognition does not. In the latter case, it is left to the machine to find similarities in the feature vectors, and then cluster the similar feature vectors together. Researchers in the field of pattern recognition have devised an enormous number of algorithms and reasoning patterns to perform both unsupervised and supervised learning, and they have not necessarily developed these approaches in the context of machine intelligence. Thus the book could also be viewed as a mathematical theory of pattern recognition instead of one that is embedded in the field of artificial intelligence. However it is classified it is a useful and important work, and is well worth the time taken to read and study.
One of the most interesting (and esoteric) discussions is found in chapter 15 of the book. One of these concerns algorithms for `competitive learning' wherein representatives are designated and then "compete" with each other after a feature vector X is presented to the algorithm. The "winner" is the representative that is closer to X and the representatives are then updated by moving the winner toward X, with the rest remaining constant or move toward X at a slower rate. The competitive learning algorithm is parametrized by the learning rates of the winner and the losers, and the losers can have different learning rates. The investigator however selects the values of these parameters beforehand, and therefore competitive learning strictly speaking should not be classified as totally unsupervised. To be really unsupervised the competitive learning algorithm would have to make the selection of these parameters and tune them as needed to reach the convergence criterion. The authors do discuss briefly a version of the algorithm where the learning rate is variable, but the rate is still subject to certain constraints. Chapter 15 also contains a brief discussion of the use of genetic algorithms in clustering.
Another topic in the book that is both interesting and important and is still surprisingly unknown by many is that of `independent component analysis'. Independent component analysis (ICA) is a generalization of principal component analysis in that it tries to find a transformation that takes a feature vector into one whose components are mutually independent, instead of merely decorrelated. All of the random variables must be non-Gaussian in order for this technique to work, since the Gaussian case gives back the usual principal component analysis. Independent component analysis is beginning to be applied to many different areas, including finance, risk management, medical imaging, and physics. It remains to see whether it will become a standardized tool in the many mathematical and statistical software packages that exist at the present time. The authors discuss two different ways to perform independent component analysis, one being an approach based on higher order cumulants, and the other, interestingly, on mutual information. In the latter approach, the mutual information between the transformed components is calculated to be the Kullback-Leibler probability distance between the joint probability distribution of the transformed components and the product of the marginal probability densities. This distance is of course zero if the components are statistically independent. The strategy is then to find the transformational matrix that minimizes the mutual information, since this will make the components maximally independent. As the authors point out, the problem with this approach is that the elements of the transformation matrix are hidden in the marginal probability distribution functions of the transformed variables. They then outline an approach that allows them to calculate the mutual information with the assumption that the transformation matrix is unitary.
centred around clustering methods.......2006-12-02
[A review of the 3rd EDITION 2006.]
The authors give us an indepth survey of pattern recognition methods. All sorts of ideas. Like using a neural network approach with a multilayer perceptron that has back propagation implemented. Or using a Bayesian to classify and infer. Nor do they neglect support vector machines, which is a relatively recent idea that has gained some adherants.
Much of the text centres on clustering algorithms. Sequential and hierarchical, amongst others. Notice that many of the clusters found are rather subjective. Often depending on some initial choice of parameters. Here is one place where you might have to use your expert knowledge, in choosing some clustering method that yields reasonable results for your application.
Pattern Recognition.......2006-06-24
Professor Theodoridis has written an exciting new book on pattern recognition. The topic is sometimes neglected, particularly in the fields of biomedical and electrical engineering, but it is essential to the understanding of signal and image shape on a mathematical basis, including similarities and differences in shape as well as how to extract, recognize, and measure the important components. Professor Theodoridis covers all of the classic steps in pattern recognition in great detail and in a readily understood fashion: sensors and pattern extraction, features extraction and selection, clustering, classification, supervised and unsupervised recognition, and evaluation of the system. Each section is backed up with computer simulation examples so that the reader can gain practical experience while reading the book. The author discusses essential concepts for computer programming of the pattern recognition techniques that are discussed. This work is necessarily mathematical, and therefore will tend to be of greatest interest to advanced students and practicing engineers in a variety of fields. Biomedical engineering is a rapidly expanding field that is key to the improvement of health care quality. There are plenty of biomedical examples including those in the section of the book on computer-aided diagnosis, such as for the detection of cancerous lesions in x-ray mammography. The section on speech recognition will be useful to engineers who are designing turnkey pattern recognition systems that include speech recognition as input and/or for use as a security key. Also included in the work are the most recently developed topics of interest including fuzzy clustering algorithms, and neural networks using genetic and annealing methods. This comprehensive work should prove to be an invaluable tool for the library of design engineers who work with signals and images. I heartily recommend it to all with a basic engineering background.
Edward Ciaccio, PhD
Assoc. Professor of Biomedical Engineering
Columbia University in New York
An interesting pattern recognition book.......2006-05-02
I teach and research in pattern recognition, and for both fields I find very interesting this book. In particular, my students use it when a particular topic in the book is studied because concepts are
well described, in particular clustering methods. Also, solution manual is available from the publisher without problems. The main problem of this textbook is that other very important topics in pattern recognition are missing or briefly review
(for example, classification trees,
support vector machines or combining classifiers).
Average customer rating:
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Forever Wild: A Cultural History of Wilderness in the Adirondacks
Philip G. Terrie
Manufacturer: Syracuse University Press
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