VisLab book wishlist

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

• Title. Authors. Publisher, year. ISBN code.

• The Book of Why: The New Science of Cause and Effect. Judea Pearl, Dana Mackenzie, 2018. ISBN 978-0465097609.

Already ordered

The following orders have already been dispatched.

Spring 2018 batch

This group of books was ordered in June 2018 and arrived in xxx 2018.

• How to Design and Report Experiments. Andy Field, Graham Hole. Sage, 2003. ISBN 978-0761973836.
• Nonverbal Communication in Human Interaction. Mark Knapp, Terrence Horgan, Judith Hall. Cengage, 2014. ISBN 978-1285083513.
• The 3D Printing Handbook: Technologies, design and applications. Ben Redwood, Filemon Schöffer, Brian Garret. 3D Hubs B.V., 2017. ISBN 978-9082748505.

Autumn 2017 batch

This book was ordered in November 2017 and arrived in January 2018.

• Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems. Peter Dayan, ‎L. F. Abbott. MIT Press, 2005. ISBN 978-0262541855.

Spring 2017 batch

This group of books was ordered in April 2017 and arrived in May 2017.

• The Ecological Approach to Visual Perception: Classic Edition. James J. Gibson. Psychology Press, 2014. ISBN 978-1848725782.
• Effective Modern C++: 42 Specific Ways to Improve Your Use of C++11 and C++14. Scott Meyers. O'Reilly, 2014. ISBN 978-1491903995.
• Hand and Mind: What Gestures Reveal about Thought. David McNeill. University Of Chicago Press, 1996. ISBN 978-0226561349.
• Principles of Neural Science, Fifth Edition. Eric R. Kandel, James H. Schwartz, Thomas M. Jessell, Steven A. Siegelbaum, A. J. Hudspeth. McGraw-Hill, 2012. ISBN 978-0071390118

Winter 2016 batch

This book was ordered in November 2016 and arrived in April 2017.

• Deep Learning. Ian Goodfellow, Yoshua Bengio, Aaron Courville. MIT Press, 2016. ISBN 978-0262035613

Spring 2016 batch

This group of books was ordered in March 2016, and arrived between May 2016 and February 2017 (Learning OpenCV 3).

• 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.
• Designing Sociable Robots, Cynthia Breazeal. MIT Press, 2002.

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.
• Springer Handbook of Robotics. Bruno Siciliano, Oussama Khatib (Editors). Springer, 2008.
• Human Motor Control, David Rosenbaum. Elsevier/Academic Press, 2009.
• 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:

• Exploring Robotic Minds: Actions, Symbols, and Consciousness as Self-Organizing Dynamic Phenomena. Jun Tani. OUP USA, 2016. ISBN 978-0190281069.
• Sparse Modeling: Theory, Algorithms, and Applications. Irina Rish, Genady Grabarnik. CRC Press, 2014.
• Sociorobot World: A Guided Tour for All. Spyros Tzafestas. Springer, 2016.
• Understanding Machine Learning: From Theory To Algorithms. Shai Shalev-Shwartz, Shai Ben-David. Cambridge University Press, 2015. ISBN 978-1107512825
• Computational Methods for Integrating Vision and Language. Kobus Barnard. Morgan & Claypool, 2016. ISBN 978-1608451128.
• OpenCV 3 Blueprints. Joseph Howse, Steven Puttemans, Quan Hua, Utkarsh Sinha. Packt Publishing, 2015. ISBN 978-1784399757.
• Time Series: Modeling, Computation, and Inference. Raquel Prado, Mike West. Chapman and Hall/CRC, 2010. ISBN 978-1420093360

Not available

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

• Real-World Active Learning: Applications and strategies for human-in-the-loop machine learning. Ted Cuzzillo. O'Reilly, March 2015.