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A Trainable System for Object Detection in Images and Video Sequences
(2000-05-01)
This thesis presents a general, trainable system for object detection in static images and video sequences. The core system finds a certain class of objects in static images of completely unconstrained, cluttered scenes ...
A new biologically motivated framework for robust object recognition
(2004-11-14)
In this paper, we introduce a novel set of features for robust object recognition, which exhibits outstanding performances on a variety ofobject categories while being capable of learning from only a fewtraining examples. ...