Fcv bio cv_poggio
Computational Information Geometry on Matrix Manifolds (ICTP 2013)
Basic Steps 1.Compute the x and y image derivatives 2.Classify each derivative as being caused by either shading or a reflectance change 3.Set derivatives.
Classification using intersection kernel SVMs is efficient Joint work with Subhransu Maji and Alex Berg (CVPR08) Jitendra Malik UC Berkeley.
Human detection iccv09
Combining Multimedia and Semantics (LACNEM2010)
Pattern learning and recognition on statistical manifolds: An information-geometric review
On the Impact of the Error Measure Selection in Evaluating Disparity Maps
20120415 videorecognition konushin_lecture05
A Measure for Accuracy Disparity Maps Evaluation
Fingerprint Analysis (part 1) Pavel Mrázek. What is fingerprint Ridges, valleys Singular points –Core –Delta Orientation field Ridge frequency.
1 Classification Using Statistically Significant Rules Sanjay Chawla School of IT University of Sydney (joint work with Florian Verhein and Bavani Arunasalam)
