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Whether you’re an aspiring artist or new to the medium, seasoned instructor and accomplished artist Nathan Fowkes makes drawing portraits in charcoal not only accessible, but also a real pleasure! From stocking the best supplies to using them effectively, and composing a portrait while avoiding common mistakes, How to Draw Portraits in Charcoal by Nathan Fowkes will place you firmly on the path to producing the charcoal portraits you've dreamed of creating. His easy-to-follow tips, in-depth tutorials, and valuable exercises make this guide your first step toward building an understanding and appreciation for every face you draw. This handy book will equip you with the skills to capture them in beautiful charcoal fashion.

• Sales Rank: #47840 in Books
• Published on: 2016-11-30
• Original language: English
• Dimensions: 10.50" h x .90" w x 9.00" l, .0 pounds
• Binding: Paperback
• 180 pages

Review
The student or fellow artist will rejoice, for Nathan generously lists all the tools he uses and all the procedures he follows. There are plenty of step-by-step sequences showing how the drawings develop, and those process images are beautifully shot and printed.

James Gurney
Author of Color and Light, Imaginative Realism, and Dinotopia

About the Author
Nathan Fowkes is a world-renowned entertainment and fine artist who has been teaching life drawing, portrait painting, color, and design for the past fifteen years. He studied traditional painting and entertainment design at the prestigious Art Center College of Design and graduated with honors. Currently a conceptual artist for animated films, his clients include DreamWorks, Disney, and Blue Sky; and his film credits include such popular movies as The Prince of Egypt, Spirit, several projects within the Shrek Universe, How to Train Your Dragon, and Puss in Boots.

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[X367.Ebook] Download Ebook Pattern Classification (Pt.1), by Richard O. Duda, Peter E. Hart, David G. Stork

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The first edition, published in 1973, has become a classic reference in the field. Now with the second edition, readers will find information on key new topics such as neural networks and statistical pattern recognition, the theory of machine learning, and the theory of invariances. Also included are worked examples, comparisons between different methods, extensive graphics, expanded exercises and computer project topics.

An Instructor's Manual presenting detailed solutions to all the problems in the book is available from the Wiley editorial department.

• Sales Rank: #118538 in Books
• Brand: Brand: Wiley
• Published on: 2000-11-09
• Original language: English
• Number of items: 1
• Dimensions: 10.30" h x 1.18" w x 7.30" l, 2.75 pounds
• Binding: Hardcover
• 680 pages

Features

• Used Book in Good Condition

Review
"…it provides a good introduction to the subject of Pattern Classification." (Journal of Classification, September 2007)

"…a fantastic book! The presentation...could not be better, and I recommend that future authors consider…this book as a role model." (Journal of Statistical Computation and Simulation, March 2006)

"...strongly recommended both as a professional reference and as a text for students..." (Technometrics, February 2002)

"...provides information needed to choose the most appropriate of the many available technique for a given class of problems." (SciTech Book News, Vol. 25, No. 2, June 2001)

"I do not believe anybody wishing to teach or do serious work on Pattern Recognition can ignore this book, as it is the sort of book one wishes to find the time to read from cover to cover!" (Pattern Analysis & Applications Journal, 2001)

"This book is the unique text/professional reference for any serious student or worker in the field of pattern recognition." (Mathematical Reviews, Issue 2001k)

"...gives a systematic overview about the major topics in pattern recognition, based whenever possible on fundamental principles." (Zentralblatt MATH, Vol. 968, 2001/18)

"attractively presented and readable" (Journal of Classification, Vol.18, No.2 2001)

From the Back Cover
From the reviews . . .

"The first edition of this book, published 30 years ago by Duda and Hart, has been a defining book for the field of Pattern Recognition. Stork has done a superb job of updating the book. He has undertaken a monumental task of sifting through 30 years of material in a rapidly growing field and presented another snapshot of the field, determining what will be of importance for the next 30 years and incorporating it into this second edition. The style is easy to read as in the original book and the statistical, mathematical material comes alive with many new illustrations. The end result is harmonious, leading the reader through many new topics..."
–Sargur N. Srihari, PhD, Director, Center for Excellence in Document Analysis and Recognition, Distinguished Professor, Department of Computer Science and Engineering, SUNY at Buffalo

Practitioners developing or investigating pattern recognition systems in such diverse application areas as speech recognition, optical character recognition, image processing, or signal analysis, often face the difficult task of having to decide among a bewildering array of available techniques. This unique text/professional reference provides the information you need to choose the most appropriate method for a given class of problems, presenting an in-depth, systematic account of the major topics in pattern recognition today. A new edition of a classic work that helped define the field for over a quarter century, this practical book updates and expands the original work, focusing on pattern classification and the immense progress it has experienced in recent years. Special features include:

• Clear explanations of both classical and new methods, including neural networks, stochastic methods, genetic algorithms, and theory of learning
• Over 350 high-quality, two-color illustrations highlighting various concepts
• Numerous worked examples
• Pseudocode for pattern recognition algorithms
• Expanded problems, keyed specifically to the text
• Complete exercises, linked to the text
• Algorithms to explain specific pattern-recognition and learning techniques
• Historical remarks and important references at the end of chapters
• Appendices covering the necessary mathematical background

NOTE: Computer Manual in MATLAB to Accompany Pattern Classification, 2e users access toolbox via ftp://ftp.wiley.com/public/sci_tech_med/pattern_classification/ (Note: Visitors will require a password from the Manual to access.)

About the Author
RICHARD O. DUDA, PhD, is Professor in the Electrical Engineering Department at San Jose State University, San Jose, California.

PETER E. HART, PhD, is Chief Executive Officer and President of Ricoh Innovations, Inc. in Menlo Park, California.

DAVID G. STORK, PhD, is Chief Scientist, also at Ricoh Innovations, Inc.

Most helpful customer reviews

35 of 35 people found the following review helpful.
excellent revision of a classical text on statistical pattern recognition
By Michael R. Chernick
The 1973 book by Duda and Hart was a classic. It surveyed the literature on pattern classification and scene analysis and provided the practitioner with wonderful insight and exposition of the subject. In the intervening 28 years the field has exploded and there has been an enormous increase in technical approaches and applications.
With this in mind the authors and their new coauthor David Stork go about the task of providing a revision. True to the goals of the original the authors undertake to describe pattern recognition under a variety of topics and with several available methods to cover each topic. Important new areas are covered and old but now deemed less significant are dropped. Advances in statistical computing and computing in general also dictate the topics. So although the authors are the same and the title is almost the same (note that scene analysis is dropped from the title) it is more like an entirely new book on the subject rthan a revision of the old. For a revision, I would expect to see mostly the same chapters with the same titles and only a few new chapters along with expansion of old chapters.

Although I view this as a new book, that is not necessarily bad. In fact it may be viewed as a strength of the book. It maintains the style and clarity of the original that we all loved but represents the state-of-the-art in pattern recognition at the beginning of the 21st Century.

The original had some very nice pictures. I liked some of them so much that I used them with permission in the section on classification error rate estimation in my bootstrap book. This edition goes much further with beautiful graphics including many nice three-dimensional color pictures like the one on the cover page.

The standard classical material is covered in the first five chapters with new material included (e.g. the EM algorithm and hidden markov models in Chapter 3). Chapter 6 covers multilayer neural networks (a totally new area). Nonmetric methods including decision trees and the CART methodology are covered in Chapter 8. Each chapter has a large number of relevant references and many homework exercises and computer exercises.

Chapter 9 is "Algorithm-Independent Machine Learning" and it includes the wonderful "No Free Lunch" theorem (Theorem 9.1), a discussion of the minimum desciption length principle, overfitting issues and Occam's razor, bias - variance tradeoffs,resampling method for estimation and classifier evaluation, and ideas about combining classifiers.

Chapter 10 is on unsurpervised learning and clustering. In addition to the traditional techniques covered in the first edition the authors include the many advances in mixture models.

I was particularly interested in that part of Chapter 9. There is good coverage of the topics and they provide a number of good references. However, I was a bit disappointed with the cursory treatment of bootstrap estimation of classification accuracy (section 9.6.3 on pages 485 - 486). I particularly disagree with the simplistic statement "In practice, the high computational complexity of bootstrap estimation of classifier accuracy is rarely worth possible improvements in that estimate (Section 9.5.1)". On the other hand, the book is one of the first to cover the newer and also promising resampling approaches called "Bagging" and "Boosting" that these authors seem to favor.

Davison and Hinkley's bootstrap text is mentioned for its practical applications and guidance for bootstrapping. The authors overlook Shao and Tu which offers more in the way of guidance. Also my book provides some guidance for error rate estimation but is overlooked.

My book also illustrate the limitations of the bootstrap. Phil Good's book provides guidance and is mentioned by the authors. But his book is very superficial and overgeneralized with respect to guiding practitioners. For these reasons I held back my enthusiasm and only gave this text four stars.

0 of 0 people found the following review helpful.
Great quality!
By Amazon Customer
The book seems to be bearly used at all. Great quality. Arrived on time as well. No complaints at all

29 of 34 people found the following review helpful.
A Very Bad Sequel
By Book Runner
I have now used this book 3 times for a class. While the 1st edition did a nice job of covering the material in its time, the additions to in the 2nd addition are a disaster. What the book has going for it is that it at least lists the necessary material for such a course in the table of contents. However, all the additional material is poorly explained at best. The problem sets are too few and the ones that are included are generally weak.

I have tried to use this book, but after constant student complaints and my own difficulty with the text, I have finally concluded that the problem lies with the text and not with the users.

I think an indicator of problems was the large number of errors in the first printing; large here is an understatement. Even in later additions, the 4th, the size of the errata is huge. I think this is indicative of the authors' attention to detail and seriousness in preparation. I have found similar errors and ambiguities in the associate Computer Manual.

The bottom line is that this book has seen its final appearance in our curriculum. I would use any other text, even an older one.

There is simply not enough room or time to point out all the problems with this text. Do yourself a favor if considering this text for a class. Don't bother.

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ALERT: Before you purchase, check with your instructor or review your course syllabus to ensure that you select the correct ISBN. Several versions of Pearson's MyLab & Mastering products exist for each title, including customized versions for individual schools, and registrations are not transferable. In addition, you may need a CourseID, provided by your instructor, to register for and use Pearson's MyLab & Mastering products.

 

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--

In his revision of Engineering Mechanics, R.C. Hibbeler empowers readers to succeed in the whole learning experience. Hibbeler achieves this by calling on his everyday classroom experience and his knowledge of how people learn inside and outside of lecture. This text is ideal for civil and mechanical engineering professionals.

 

MasteringEngineering , the most technologically advanced online tutorial and homework system, is available with this edition. Subscriptions to MasteringEngineering are available to purchase online or packaged with your textbook (unique ISBN).

• Sales Rank: #807495 in Books
• Brand: Brand: Prentice Hall
• Published on: 2012-07-15
• Original language: English
• Number of items: 1
• Dimensions: 9.50" h x 2.10" w x 8.20" l, 4.95 pounds
• Binding: Hardcover
• 1416 pages

Features

• Used Book in Good Condition

About the Author

R.C. Hibbeler graduated from the University of Illinois at Urbana with a BS in Civil Engineering (major in Structures) and an MS in Nuclear Engineering. He obtained his PhD in Theoretical and Applied Mechanics from Northwestern University.

 

Hibbeler’s professional experience includes postdoctoral work in reactor safety and analysis at Argonne National Laboratory, and structural and stress analysis work at Chicago Bridge and Iron, as well as Sargent and Lundy in Chicago.  He has practiced engineering in Ohio, New York, and Louisiana.

 

Hibbeler currently teaches both civil and mechanical engineering courses at the University of Louisiana, Lafayette. In the past he has taught at the University of Illinois at Urbana, Youngstown State University, Illinois Institute of Technology, and Union College.

 

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[V994.Ebook] PDF Ebook Geometry & Measurement Grade 1 (Kumon Math Workbooks), by Kumon Pub. North America Ltd

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Book Details:

• Format: Paperback
• Publication Date: 6/1/2009
• Pages: 80
• Reading Level: Age 6 and Up

• Sales Rank: #39759 in Books
• Brand: Kumon
• Published on: 2009-06-01
• Original language: English
• Number of items: 1
• Dimensions: 10.75" h x 8.25" w x .50" l, .63 pounds
• Binding: Paperback
• 80 pages

Features

• Used Book in Good Condition

Most helpful customer reviews

42 of 42 people found the following review helpful.
A Mix of Previous Kumon Workbooks
By Ursula K. Raphael
If you have already used previous Kumon workbooks like My Book of Easy Telling Time: Learning about Hours and Half-Hours, My Book Of Numbers 1-120 (Kumon Workbooks), or My First Book of Money: Counting Coins, this will be kind of a review for your child. It's a useful way to reinforce what they already know, and teach them what they might have struggled with in previous workbooks.

It has counting and counting by skipping numbers; identify, recognize, name, sort and compare basic two- and three- dimensional shapes; using non-standard units to measure and compare concrete shapes; learning about coins (penny, nickel, dime, quarter); and telling time (to the hour and a half hour).

I think children as young as 5 yrs old could use this workbook.

14 of 14 people found the following review helpful.
It's okay
By Amazon Shopper
Didn't really like this one. There was a couple of pages for geometry & measurement, but most of the book was focused on counting(like how many are there, which side has the most in the group, counting money, and write the missing number, stuff like that).

6 of 6 people found the following review helpful.
Too basic for Grade 1
By Sharon
I felt that most of this book was more like a review of Kindergarten work than an introduction to Grade 1 work. Other than that the worksheets are typical Kumon style. Clearly written instructions and illustrations.

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Introducing the Easiest Ketogenic Diet Book - Simple Keto Have you ever wanted to start a ketogenic diet? Don't know where to begin eating low carb? Or have you been pushing it off, because of being scared of it? Whatever your reason or condition, you will most definitely benefit from this. Simple Keto provides you with A simple plan to start a ketogenic diet for beginners. Everything you need to know about the keto diet and low carb eating. A tasty ketogenic diet meal plan that burn fat and battle diabetes. Here’s what you’ll get from Simple Keto. • Burn body fat, not muscle. Weight loss doesn’t equal fat loss. • Improve your mental focus and make your mind as sharp as a knife. • Battle diabetes and potentially reverse it. • Improve your health markers, such as blood pressure, blood sugar levels and cholesterol • Protect yourself against cancer, tumors and coronary heart disease. • Increase your longevity and insulin sensitivity. • Become fat adapted and start using fat for fuel. • Experience mental clarity and feel amazing. • Have access to abundant energy all the time. • Reduce your hunger and lose sugar cravings for good. • Eat mouthwatering and delicious meals that leave you satiated for long periods of time. The author Siim Land is a modern day Renaissance man and a Palaeolithic hunter-gatherer. A holistic health practitioner, fitness expert and an author. He has practised the ketogenic diet for a long time and has improved his performance, health and well-being. The same can be done for you. Simple Keto is just that - an easy ketogenic diet for beginners that covers everything you need to know about how to start eating low carb without losing your mind of becoming too stressed out. "Life transforming"

• Sales Rank: #2459901 in Books
• Published on: 2016-07-07
• Original language: English
• Dimensions: 8.50" h x .42" w x 8.50" l, .45 pounds
• Binding: Paperback
• 176 pages

Most helpful customer reviews

1 of 1 people found the following review helpful.
Effective diet
By Donald Walker
This is so far the best book about ketogenic diet that I have read. In this book you can find introduction into what is ketogenic diet and why it's effective. Also this book has great ideas for the meals that you can eat in this diet as well as recipes. I liked that this book is written in conversational tone and I could understand all ideas very well.

1 of 1 people found the following review helpful.
Try Ketogenic diet
By Murphy Richards
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0 of 0 people found the following review helpful.
One more excellent book from Siim Land
By Jessica
One more excellent book from Siim Land. This is the second book that I took from this author, and me and my family are truly very satisfied. We are completely changed our diet, and we feel the improvement in our health. My husband most, because he suffers from overweight and some other problems. Use the advice in this book is really easy to cross over to a healthy diet. We aim to change our lifestyle, because we realized that we have a very unhealthy diet. All praise to the Author!

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A screening tool based on 6 of the Clinical Observations developed by A.J. Ayres. It generates a score to help identify a number of subtle motor coordination problems in children. This revision now includes ages 5 to 15. COMPS offers standardized administration procedures and objective criteria for scoring. Easy to follow instructions and illustrations help therapists to administer the test quickly and reliably in less than 15 minutes. Includes the ScoreCalculator software -just type in the numbers and let the software calculate the correct scores. Author: Brenda Wilson, M.S., OT(C), Bonnie Kaplan, Ph.D., Nancy Pollock, M.Sc., OT(C), and Mary Law, Ph.D., OT(C)

• Sales Rank: #4524925 in Books
• Published on: 2000
• Dimensions: 11.50" h x 1.60" w x 8.50" l,
• Binding: Paperback

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