




  Robust Statistics: Theory and Methods (Probability and Statistics)Classical statistical techniques fail to cope well with deviations from a standard distribution. Robust statistical methods take into account these deviations while estimating the parameters of parametric models, thus increasing the accuracy of the inference. Research into robust methods is flourishing, with new methods being developed and...   

The Art of Computer Programming, Volume 4A: Combinatorial Algorithms, Part 1
The TITLE of Volume 4 is Combinatorial Algorithms, and when I proposed it I was strongly inclined to add a subtitle: The Kind of Programming I Like Best. Mv editors have decided to tone down such exuberance, but the fact remains that programs with a combinatorial flavor have always been my favorites.
On the other hand I've...   Probability: With Applications and R
An introduction to probability at the undergraduate level
Chance and randomness are encountered on a daily basis. Authored by a highly qualified professor in the field, Probability: With Applications and R delves into the theories and applications essential to obtaining a thorough understanding of probability. ...   

  2D Object Detection and Recognition: Models, Algorithms, and NetworksThis book is about detecting and recognizing 2D objects in graylevel images. Howare models constructed? Howare they trained? What are the computational approaches to efficient implementation on a computer? And finally, how can some of these computations be implemented in the framework of parallel and biologically plausible neural ...   


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