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ORCIDMachine Learning for Computer Vision 2013
- Roberto Cipolla, Sebastiano Battiato, Giovanni Maria Farinella:
Machine Learning for Computer Vision. Studies in Computational Intelligence 411, Springer 2013, ISBN 978-3-642-28660-5 - Cheston Tan
, Joel Z. Leibo, Tomaso A. Poggio:
Throwing Down the Visual Intelligence Gauntlet. 1-15 - Stefano Soatto:
Actionable Information in Vision. 17-48 - Kristen Grauman, Rob Fergus:
Learning Binary Hash Codes for Large-Scale Image Search. 49-87 - Jeroen C. Chua, Inmar E. Givoni, Ryan P. Adams, Brendan J. Frey:
Bayesian Painting by Numbers: Flexible Priors for Colour-Invariant Object Recognition. 89-117 - Jamie Shotton, Andrew W. Fitzgibbon, Mat Cook, Toby Sharp, Mark Finocchio, Richard Moore, Alex Kipman, Andrew Blake:
Real-Time Human Pose Recognition in Parts from Single Depth Images. 119-135 - Minh-Tri Pham, Oliver J. Woodford, Frank Perbet, Atsuto Maki, Riccardo Gherardi, Björn Stenger, Roberto Cipolla:
Scale-Invariant Vote-Based 3D Recognition and Registration from Point Clouds. 137-162 - Tae-Kyun Kim, Roberto Cipolla:
Multiple Classifier Boosting and Tree-Structured Classifiers. 163-196 - Murtaza Taj, Andrea Cavallaro:
Simultaneous Detection and Tracking with Multiple Cameras. 197-214 - Alberto Broggi, Stefano Cattani, Paolo Medici, Paolo Zani:
Applications of Computer Vision to Vehicles: An Extreme Test. 215-250
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