VisLab book wishlist

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

• Title. Authors. Publisher, year.

Already ordered

The following orders have already been dispatched.

Spring 2016 batch

This group of books was ordered in March 2016 (?), and arrived in xxx.

• Learning OpenCV 3: Computer Vision in C++ with the OpenCV Library. Adrian Kaehler, Gary Bradski. O'Reilly Media, 2016.
• Mastering ROS for Robotics Programming. Lentin Joseph. Packt Publishing, 2015.
• Artificial Cognitive Systems: A Primer. David Vernon. MIT Press, 2015.
• Developmental Robotics: From Babies to Robots. Angelo Cangelosi, Matthew Schlesinger. MIT Press, 2015.
• Machine Learning: A Bayesian and Optimization Perspective. Sergios Theodoridis. Academic Press, March 2015.
• Gaussian Processes for Machine Learning. Carl Edward Rasmussen, Christopher K. I. Williams. MIT Press, 2006.

Autumn 2014 batch

This group of books was ordered in November 2014, and arrived between December 2014 and February 2015.

• Probabilistic Graphical Models: Principles and Techniques. Daphne Koller, Nir Friedman. MIT Press, 2009. (publisher page with 20% discount code DKPGM12)
• Understanding Vision: theory, models, and data. Li Zhaoping. Oxford University Press, 2014. (publisher page)
• Dictionary of Computer Vision and Image Processing, 2nd Edition. Robert B. Fisher, Toby P. Breckon, Kenneth Dawson-Howe, Andrew Fitzgibbon, Craig Robertson, Emanuele Trucco, Christopher K. I. Williams. Wiley, 2013. (publisher page)
• Introduction to Game Design, Prototyping, and Development: From Concept to Playable Game with Unity and C#. Jeremy Gibson. Addison-Wesley Professional, 2014.
• Regularization, Optimization, Kernels, and Support Vector Machines. Johan A.K. Suykens, Marco Signoretto, Andreas Argyriou. Chapman and Hall/CRC, 2014. (publisher page)

Autumn 2013 batch

This group of books was ordered in October 2013, and arrived between November 2013 and June 2014.

• 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.
• New Frontiers in Human-Robot Interaction (link2). Kerstin Dautenhahn and Joe Saunder. John Benjamins Publishing Company, 2011.
• An Interdisciplinary Introduction to Image Processing. Steven L. Tanimoto. MIT Press, May 2012.
• Machine Learning: A Probabilistic Perspective. Kevin Murphy. MIT Press, October 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.
• Active Learning: Synthesis Lectures on Artificial Intelligence and Machine Learning. Burr Settles. Morgan & Claypool, 2012.

Summer 2011 batch

This group of books was ordered in the summer of 2011, and 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

Misc

Discarded

Books that were considered for purchase but not ordered:

• Sparse Modeling: Theory, Algorithms, and Applications. Irina Rish, Genady Grabarnik. CRC Press, 2014.
• Sociorobot World: A Guided Tour for All. Spyros Tzafestas. Springer, 2016.

Not available

Books that are likely not available (from previous purchase attempts):

• Designing Sociable Robots, Cynthia Breazeal. MIT Press, 2002.
• Real-World Active Learning: Applications and strategies for human-in-the-loop machine learning. Ted Cuzzillo. O'Reilly, March 2015.