20 search results - page 3 / 4 » Object Learning and Convex Cardinal Shape Composition |
CVPR
2009
IEEE
2009
IEEE
Layered Graph Matching by Composite Cluster Sampling with Collaborative and Competitive Interactions
15 years 15 days ago
This paper studies a framework for matching an unknown
number of corresponding structures in two images
(shapes), motivated by detecting objects in cluttered background
and lear...
KDD
2010
ACM
13 years 7 months ago
2010
ACM
We consider the problem of learning incoherent sparse and lowrank patterns from multiple tasks. Our approach is based on a linear multi-task learning formulation, in which the spa...
CVPR
2008
IEEE
14 years 7 months ago
2008
IEEE
This paper proposes a new concept in hierarchical representations that exploits features of different granularity and specificity coming from all layers of the hierarchy. The conc...
CVPR
2007
IEEE
14 years 7 months ago
2007
IEEE
A jigsaw is a recently proposed generative model that describes an image as a composition of non-overlapping patches of varying shape, extracted from a latent image. By learning t...
ICCV
2007
IEEE
14 years 7 months ago
2007
IEEE
In this paper we present an empirical study of object category recognition using generalized samples and a set of sequential tests. We study 33 categories, each consisting of a sm...