VisLab book wishlist
If you need a new book for your research, please add it to this list:
- add here
Books that are likely not available (from previous purchase attempts):
- Designing Sociable Robots, Cynthia Breazeal. MIT Press, 2002. (*)
Already ordered
The following orders have already been dispatched.
Autumn 2013 batch
This group of books was ordered in October 2013, and arrived between 2013-11-19, 2014-02-10 and 2014-xx-xx.
- Gesture, Speech, and Sign. Lynn Messing, Ruth Campbell. Oxford University Press, 1999.
- OpenCV 2 Computer Vision Application Programming Cookbook. Robert Laganière. Pack Publishing, May 2011.
- Brave NUI World: Designing Natural User Interfaces for Touch and Gesture. Daniel Wigdor, Dennis Wixon. Morgan Kaufmann, April 2011.
- Probabilistic Robotics. Sebastian Thrun, Wolfram Burgard, Dieter Fox. MIT Press, 2005.
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- An Interdisciplinary Introduction to Image Processing. Steven L. Tanimoto. MIT Press, May 2012.
- Machine Learning: A Probabilistic Perspective. Kevin Murphy. MIT Press, October 2012.
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- Bayesian Reasoning and Machine Learning (this link provides a 20% discount, you can change currency at checkout) David Barber. Cambridge University Press, February 2012.
- Active Learning: Synthesis Lectures on Artificial Intelligence and Machine Learning. Burr Settles. Morgan & Claypool, 2012.
- New Frontiers in Human-Robot Interaction (link2). Kerstin Dautenhahn and Joe Saunder. John Benjamins Publishing Company, 2011.
Summer 2011 batch
This group of books was ordered in the summer of 2011, and after some trouble finally arrived on 2011-11-28.
- Plasticity in the Visual System: From Genes to Circuits, Raphael Pinaud (Editor), Liisa A. Tremere (Editor), Peter de Weerd, Springer 2006, http://www.amazon.com/Plasticity-Visual-System-Genes-Circuits/dp/0387281894 (*)
- Springer Handbook of Robotics. Bruno Siciliano, Oussama Khatib (Editors). Springer, 2008. (**)
- Human Motor Control, David Rosenbaum. Elsevier/Academic Press, 2010. ()
- Computer vision, A modern approach, David Forsyth and Jean Ponce.
- Pattern recognition and machine learning , Christopher M. Bishop