93 search results - page 7 / 19 » Learning to Detect Objects of Many Classes Using Binary Clas... |
108
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PAA
2002
14 years 9 months ago
2002
: Many classification problems involve high dimensional inputs and a large number of classes. Multiclassifier fusion approaches to such difficult problems typically centre around s...
104
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PAMI
2011
14 years 4 months ago
2011
—This paper presents an automatic segmentation algorithm for video frames captured by a (monocular) webcam that closely approximates depth segmentation from a stereo camera. The ...
CVPR
2007
IEEE
15 years 1 months ago
2007
IEEE
Detection of objects of a given class is important for many applications. However it is difficult to learn a general detector with high detection rate as well as low false alarm r...
IJCV
2000
14 years 9 months ago
2000
This paper presents a general, trainable system for object detection in unconstrained, cluttered scenes. The system derives much of its power from a representation that describes a...
CVPR
2008
IEEE
15 years 11 months ago
2008
IEEE
Most successful object recognition systems rely on binary classification, deciding only if an object is present or not, but not providing information on the actual object location...