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78
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CVPR
2007
IEEE
15 years 4 months ago
Matrix-Structural Learning (MSL) of Cascaded Classifier from Enormous Training Set
Aiming at the problem when both positive and negative training set are enormous, this paper proposes a novel Matrix-Structural Learning (MSL) method, as an extension to Viola and ...
Shengye Yan, Shiguang Shan, Xilin Chen, Wen Gao, J...
87
Voted
WSCG
2004
197views more  WSCG 2004»
14 years 11 months ago
Collision Prediction Using MKtrees
In this paper, the collision prediction between polyhedra under screw motions and a static scene using a new K dimensional tree data structure (Multiresolution Kdtree, MKtree) is ...
Marta Franquesa-Niubó, Pere Brunet
IEEEICCI
2005
IEEE
15 years 3 months ago
Formal concept analysis based on hierarchical class analysis
The study of concept formation and learning is a central topic in cognitive informatics. Formal concept analysis can be viewed as an approach on this topic based on a formal conte...
Yaohua Chen, Yiyu Yao
82
Voted
CVPR
2010
IEEE
15 years 6 months ago
Cascade Object Detection with Deformable Part Models
We describe a general method for building cascade classifiers from part-based deformable models such as pictorial structures. We focus primarily on the case of star-structured mod...
Pedro Felzenszwalb, Ross Girshick, David McAlleste...
ECCV
2010
Springer
15 years 2 months ago
Stacked Hierarchical Labeling
In this work we propose a hierarchical approach for labeling semantic objects and regions in scenes. Our approach is reminiscent of early vision literature in that we use a decompo...