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CVPR
2009
IEEE
1453views Computer Vision» more  CVPR 2009»
15 years 1 months ago
Learning Photometric Invariance From Diversified Color Model Ensembles
Color is a powerful visual cue for many computer vision applications such as image segmentation and object recognition. However, most of the existing color models depend on the i...
Jose M. Alvarez, Theo Gevers, Antonio M. Lopez
ICIP
2005
IEEE
14 years 10 months ago
Using appearance and context for outdoor scene object classification
We propose a probabilistic object classifier for outdoor scene analysis as a first step in solving the problem of scene context generation. The method begins with a top-down contr...
Anna Bosch, Joan Martí, Xavier Muñoz
COGSCI
2002
99views more  COGSCI 2002»
13 years 8 months ago
Learning words from sights and sounds: a computational model
This paper presents an implemented computational model of word acquisition which learns directly from raw multimodal sensory input. Set in an information theoretic framework, the ...
Deb Roy, Alex Pentland
ICALT
2009
IEEE
14 years 3 months ago
Mediating Distribution Models and Access Control for the Exchange of Learning Objects
This paper presents a learning object broker that aims to mediate and control accesses to learning objects offered by the “Learning Resource Exchange”. This broker provides a u...
Jean-Noel Colin, Tien-Dung Le, David Massart
CVPR
2007
IEEE
14 years 11 months ago
Flexible Object Models for Category-Level 3D Object Recognition
Today's category-level object recognition systems largely focus on fronto-parallel views of objects with characteristic texture patterns. To overcome these limitations, we pr...
Akash Kushal, Cordelia Schmid, Jean Ponce