Sciweavers

3051 search results - page 89 / 611
» Learning Internal Representations
Sort
View
ICASSP
2008
IEEE
15 years 9 months ago
Contextually adaptive signal representation using conditional principal component analysis
The conventional method of generating a basis that is optimally adapted (in MSE) for representation of an ensemble of signals is Principal Component Analysis (PCA). A more ambitio...
Rosa M. Figueras i Ventura, Umesh Rajashekar, Zhou...
169
Voted
WACV
2012
IEEE
13 years 10 months ago
Online discriminative object tracking with local sparse representation
We propose an online algorithm based on local sparse representation for robust object tracking. Local image patches of a target object are represented by their sparse codes with a...
Qing Wang, Feng Chen, Wenli Xu, Ming-Hsuan Yang
SIGUCCS
2003
ACM
15 years 8 months ago
Colgate university's ITS study groups: in-house personal and professional development
Internal Study Groups at Colgate University have increased staff members’ technical knowledge, encouraged additional study on selected topics, and resulted in achievement of ind...
Jeanne Kellogg
CVPR
2003
IEEE
16 years 5 months ago
Representation and Detection of Deformable Shapes
We describe some techniques that can be used to represent and detect deformable shapes in images. The main difficulty with deformable template models is the very large or infinite...
Pedro F. Felzenszwalb
CVPR
2005
IEEE
16 years 5 months ago
Representational Oriented Component Analysis (ROCA) for Face Recognition with One Sample Image per Training Class
Subspace methods such as PCA, LDA, ICA have become a standard tool to perform visual learning and recognition. In this paper we propose Representational Oriented Component Analysi...
Fernando De la Torre, Ralph Gross, Simon Baker, B....