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» Some Solutions to the Missing Feature Problem in Vision
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CVPR
2011
IEEE
13 years 3 months ago
Local Isomorphism to Solve the Pre-image Problem in Kernel Methods
Kernel methods have been popular over the last decade to solve many computer vision, statistics and machine learning problems. An important, both theoretically and practically, op...
Dong Huang, Yuandong Tian, Fernando DelaTorre
CVPR
2008
IEEE
14 years 9 months ago
Context-aware clustering
Most existing methods of semi-supervised clustering introduce supervision from outside, e.g., manually label some data samples or introduce constrains into clustering results. Thi...
Junsong Yuan, Ying Wu
ICGA
1997
133views Optimization» more  ICGA 1997»
13 years 9 months ago
Messy Genetic Algorithms for Subset Feature Selection
Subset Feature Selection problems can have severalattributes which may make Messy Genetic Algorithms an appropriateoptimization method. First, competitive solutions may often use ...
L. Darrell Whitley, J. Ross Beveridge, Cesar Guerr...
IVC
2007
131views more  IVC 2007»
13 years 7 months ago
Multi-view correspondence by enforcement of rigidity constraints
Establishing the correct correspondence between features in an image set remains a challenging problem amongst computer vision researchers. In fact, the combinatorial nature of fe...
Ricardo Oliveira, João Xavier, João ...
ICPR
2006
IEEE
14 years 8 months ago
Motion Features from Lip Movement for Person Authentication
This paper describes a new motion based feature extraction technique for speaker identification using orientation estimation in 2D manifolds. The motion is estimated by computing ...
Josef Bigün, Maycel Isaac Faraj