Classification using intersection kernel SVMs is efficient Joint work with Subhransu Maji and Alex Berg (CVPR08) Jitendra Malik UC Berkeley.
Computer Vision Group UC Berkeley How should we combine high level and low level knowledge? Jitendra Malik UC Berkeley Recognition using regions is joint.
Poselets: Body Part Detectors trained Using 3D Human Pose Annotations Lubomir Bourdev & Jitendra Malik ICCV 2009.
Primary Succession in Glacier Forelands
Classification using intersection kernel SVMs is efficient Joint work with Subhransu Maji and Alex Berg Jitendra Malik UC Berkeley.
Ramesh Raskar, CompPhoto Class Northeastern, Fall 2005 Northeastern University, Fall 2005 CSG242: Computational Photography Ramesh Raskar Mitsubishi Electric.
Fast intersection kernel SVMs for Realtime Object Detection Joint work with: Alex Berg (Columbia University & UC Berkeley) and Jitendra Malik (UC Berkeley)
Image processing for selected biological experiments J. Schier, B. Kovář ÚTIA AV ČR, v.v.i.
Classification using intersection kernel SVMs is efficient
9.Almost Rosids to Rosids
Effect of Rack Server Population on Temperatures in Data Centers CEETHERM Data Center Laboratory G.W. Woodruff School of Mechanical Engineering Georgia.
