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CVPR
2005
IEEE
15 years 24 days ago
Spatial Priors for Part-Based Recognition Using Statistical Models
We present a class of statistical models for part-based object recognition that are explicitly parameterized according to the degree of spatial structure they can represent. These...
David J. Crandall, Pedro F. Felzenszwalb, Daniel P...
ICIP
2004
IEEE
15 years 12 days ago
Audio-visual flow -a variational approach to multi-modal flow estimation
Just as a motion field is associated to a moving object, an audio field can be associated to an object that can behave as a sound source. The flow field of such a sound source whi...
Raffay Hamid, Aaron F. Bobick, Anthony J. Yezzi
CORR
2006
Springer
121views Education» more  CORR 2006»
13 years 10 months ago
Number sequence representation of protein structures based on the second derivative of a folded tetrahedron sequence
A protein is a sequence of amino-acids of length typically less than 1, 000, where there are 20 kinds of amino-acids. In nature, each protein is folded into a well-defined three-d...
Naoto Morikawa
AUSAI
2008
Springer
14 years 24 days ago
Learning a Generative Model for Structural Representations
Abstract. Graph-based representations have been used with considercess in computer vision in the abstraction and recognition of object shape and scene structure. Despite this, the ...
Andrea Torsello, David L. Dowe
MICCAI
2000
Springer
14 years 2 months ago
Adaptive-Focus Statistical Shape Model for Segmentation of 3D MR Structures
This paper presents a deformable model for automatically segmenting objects from volumetric MR images and obtaining point correspondences, using geometric and statistical informati...
Dinggang Shen, Christos Davatzikos