<p>This book is concerned with important problems of robust (stable) statistical patΒ tern recognition when hypothetical model assumptions about experimental data are violated (disturbed). Pattern recognition theory is the field of applied mathematics in which prinΒ ciples and methods are constructe
Robustness in statistical pattern recognition
β Scribed by Kharin Yu
- Publisher
- Kluwer Academic
- Year
- 1996
- Tongue
- English
- Leaves
- 312
- Series
- Mathematics and Its Applications 380
- Category
- Library
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
The book written by Andrew Webb is certainly the most comprehensive book related to machine learning. I have not been able to find any machine learning topic which is not treated in this book. According to me, this book is more for a scientific audience for the simplest reason that the presentation
Statistical pattern recognition is a very active area of study and research, which has seen many advances in recent years. New and emerging applications - such as data mining, web searching, multimedia data retrieval, face recognition, and cursive handwriting recognition - require robust and efficie
Statistical pattern recognition relates to the use of statistical techniques for analysing data measurements in order to extract information and make justified decisions.Β It is a very active area of study and research, which has seen many advances in recent years. Applications such as data mining,
Statistical pattern recognition relates to the use of statistical techniques for analysing data measurements in order to extract information and make justified decisions.Β It is a very active area of study and research, which has seen many advances in recent years. Applications such as data mining,
<span>Book by Chen, C. H</span>