VisLab book wishlist

If you need a new book for your research, please add it to this list:

• Gesture, Speech, and Sign. Lynn Messing, Ruth Campbell. Oxford University Press, 1999.
• Brave NUI World: Designing Natural User Interfaces for Touch and Gesture. Daniel Wigdor, Dennis Wixon. Morgan Kaufmann, April 2011.
• Active Learning: Synthesis Lectures on Artificial Intelligence and Machine Learning. Burr Settles. Morgan & Claypool, 2012. or another book on the same topic
• Effective STL: 50 Specific Ways to Improve the Use of the Standard Template Library. Scott Meyers. Addison Wesley, 2001.

Already ordered

The following orders have already been dispatched.

Autumn 2012 batch

This group of books was ordered in November 2012, and arrived on 20xx-yy-zz.

• Designing Sociable Robots, Cynthia Breazeal. MIT Press, 2002. (*)
• New Frontiers in Human-Robot Interaction (link2). Kerstin Dautenhahn and Joe Saunder. John Benjamins Publishing Company, 2011.
• The Future of Humanoid Robots - Research and Applications. Riadh Zaier (Editor). inTech, January 2012.
• Bayesian Reasoning and Machine Learning (this link provides a 20% discount, you can change currency at checkout) David Barber. Cambridge University Press, February 2012.
• An Interdisciplinary Introduction to Image Processing. Steven L. Tanimoto. MIT Press, May 2012.
• OpenCV 2 Computer Vision Application Programming Cookbook. Robert Laganière. Pack Publishing, May 2011.
• Machine Learning: A Probabilistic Perspective. Kevin Murphy. MIT Press, October 2012.

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