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CVPR
2011
IEEE
12 years 11 months ago
Effective 3D Object Detection and Regression Using Probabilistic Segmentation Features in CT Images
3D object detection and importance regression/ranking are at the core for semantically interpreting 3D medical images of computer aided diagnosis (CAD). In this paper, we propose ...
Le Lu, Jinbo Bi, Matthias Wolf, Marcos Salganicoff
ALMOB
2006
155views more  ALMOB 2006»
13 years 7 months ago
Refining motifs by improving information content scores using neighborhood profile search
The main goal of the motif finding problem is to detect novel, over-represented unknown signals in a set of sequences (e.g. transcription factor binding sites in a genome). The mo...
Chandan K. Reddy, Yao-Chung Weng, Hsiao-Dong Chian...
ICCD
2004
IEEE
128views Hardware» more  ICCD 2004»
14 years 4 months ago
Static Transition Probability Analysis Under Uncertainty
Deterministic gate delay models have been widely used to find the transition probabilities at the nodes of a circuit for calculating the power dissipation. However, with progress...
Siddharth Garg, Siddharth Tata, Ravishankar Arunac...
ACCV
2009
Springer
14 years 2 months ago
A Probabilistic Model for Correspondence Problems Using Random Walks with Restart
Abstract. In this paper, we propose an efficient method for finding consistent correspondences between two sets of features. Our matching algorithm augments the discriminative pow...
Tae Hoon Kim, Kyoung Mu Lee, Sang Uk Lee
CVPR
2001
IEEE
14 years 9 months ago
A Probabilistic Framework for Surface Reconstruction from Multiple Images
This paper presents a novel probabilistic framework for 3D surface reconstruction from multiple stereo images. The method works on a discrete voxelized representation of the scene...
Motilal Agrawal, Larry S. Davis