2037 search results - page 299 / 408 » Chunking with Support Vector Machines |
ICCV
2003
IEEE
14 years 11 months ago
2003
IEEE
Recent developments in computer vision have shown that local features can provide efficient representations suitable for robust object recognition. Support Vector Machines have be...
ICCV
2003
IEEE
14 years 11 months ago
2003
IEEE
This paper presents a novel approach for landmarkbased shape deformation, in which fitting error and shape difference are formulated into a support vector machine (SVM) regression...
ICCV
2001
IEEE
14 years 11 months ago
2001
IEEE
This paper presents a novel landmark-based shape deformation method. This method effectively solves two problems inherent in landmark-based shape deformation: (a) identification o...
ECCV
2008
Springer
14 years 11 months ago
2008
Springer
Visual tracking is a challenging problem, as an object may change its appearance due to viewpoint variations, illumination changes, and occlusion. Also, an object may leave the fie...
ECCV
2000
Springer
14 years 11 months ago
2000
Springer
This paper describes a novel view-based learning algorithm for 3D object recognition from 2D images using a network of linear units. The SNoW learning architecture is a sparse netw...