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134
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CGF
2005
252views more  CGF 2005»
15 years 3 months ago
Support Vector Machines for 3D Shape Processing
We propose statistical learning methods for approximating implicit surfaces and computing dense 3D deformation fields. Our approach is based on Support Vector (SV) Machines, which...
Florian Steinke, Bernhard Schölkopf, Volker B...
126
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ACL
2009
15 years 1 months ago
A non-contiguous Tree Sequence Alignment-based Model for Statistical Machine Translation
The tree sequence based translation model allows the violation of syntactic boundaries in a rule to capture non-syntactic phrases, where a tree sequence is a contiguous sequence o...
Jun Sun, Min Zhang, Chew Lim Tan
127
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ECCV
2006
Springer
16 years 5 months ago
Nonrigid Shape and Motion from Multiple Perspective Views
We consider the problem of nonrigid shape and motion recovery from point correspondences in multiple perspective views. It is well known that the constraints among multiple views o...
Daniel Abretske, René Vidal
223
Voted
ECCV
2004
Springer
16 years 5 months ago
High Accuracy Optical Flow Estimation Based on a Theory for Warping
Abstract. We study an energy functional for computing optical flow that combines three assumptions: a brightness constancy assumption, a gradient constancy assumption, and a discon...
Thomas Brox, Andrés Bruhn, Nils Papenberg, ...
140
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ISVC
2010
Springer
15 years 2 months ago
Face Recognition in Videos Using Adaptive Graph Appearance Models
Abstract. In this paper, we present a novel graph, sub-graph and supergraph based face representation which captures the facial shape changes and deformations caused due to pose ch...
Gayathri Mahalingam, Chandra Kambhamettu