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ICCV
2005
IEEE
16 years 8 months ago
Probabilistic Boosting-Tree: Learning Discriminative Models for Classification, Recognition, and Clustering
In this paper, a new learning framework?probabilistic boosting-tree (PBT), is proposed for learning two-class and multi-class discriminative models. In the learning stage, the pro...
Zhuowen Tu
ICCV
2005
IEEE
16 years 8 months ago
Deformation Invariant Image Matching
We propose a novel framework to build descriptors of local intensity that are invariant to general deformations. In this framework, an image is embedded as a 2D surface in 3D spac...
Haibin Ling, David W. Jacobs
ECCV
2008
Springer
16 years 8 months ago
Extracting Moving People from Internet Videos
Abstract. We propose a fully automatic framework to detect and extract arbitrary human motion volumes from real-world videos collected from YouTube. Our system is composed of two s...
Juan Carlos Niebles, Bohyung Han, Andras Ferencz, ...
ECCV
1996
Springer
16 years 8 months ago
Elastically Adaptive Deformable Models
We present a novel technique for the automatic adaptation of a deformable model's elastic parameters within a Kalman filter framework for shape estimation applications. The no...
Dimitris N. Metaxas, Ioannis A. Kakadiaris
ICIP
2006
IEEE
16 years 8 months ago
Topic Tracking Across Broadcast News Videos with Visual Duplicates and Semantic Concepts
Videos from distributed sources (e.g., broadcasts, podcasts, blogs, etc.) have grown exponentially. Topic threading is very useful for organizing such large-volume information sou...
Winston H. Hsu, Shih-Fu Chang