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» A Steiner Tree approach to efficient object detection
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CVPR
2007
IEEE
14 years 9 months ago
Multiple Instance Learning of Pulmonary Embolism Detection with Geodesic Distance along Vascular Structure
We propose a novel classification approach for automatically detecting pulmonary embolism (PE) from computedtomography-angiography images. Unlike most existing approaches that req...
Jinbo Bi, Jianming Liang
WSCG
2004
197views more  WSCG 2004»
13 years 9 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
SIGGRAPH
1995
ACM
13 years 11 months ago
Creation and rendering of realistic trees
Recent advances in computer graphics have produced images approaching the elusive goal of photorealism. Since many natural objects are so complex and detailed, they are often not ...
Jason Weber, Joseph Penn
ICCV
2007
IEEE
14 years 9 months ago
Hierarchical Part-Template Matching for Human Detection and Segmentation
Local part-based human detectors are capable of handling partial occlusions efficiently and modeling shape articulations flexibly, while global shape template-based human detector...
Zhe Lin, Larry S. Davis, David S. Doermann, Daniel...
CVPR
2008
IEEE
14 years 9 months ago
Decomposition, discovery and detection of visual categories using topic models
We present a novel method for the discovery and detection of visual object categories based on decompositions using topic models. The approach is capable of learning a compact and...
Mario Fritz, Bernt Schiele