CVIU
2008
13 years 4 months ago
2008
In this paper, we present an efficient and robust algorithm for shape matching, registration, and detection. The task is to geometrically transform a source shape to fit a target ...
CLOR
2006
13 years 8 months ago
2006
Many approaches to object recognition are founded on probability theory, and can be broadly characterized as either generative or discriminative according to whether or not the dis...
SIGIR
2010
ACM
13 years 8 months ago
2010
ACM
Generative models such as statistical language modeling have been widely studied in the task of expert search to model the relationship between experts and their expertise indicat...
ECCV
2010
Springer
13 years 8 months ago
2010
Springer
We present a discriminative model that casts appearance modeling and visual matching into a single objective for visual tracking. Most previous discriminative models for visual tra...
CVPR
2005
IEEE
13 years 10 months ago
2005
IEEE
Here we explore a discriminative learning method on underlying generative models for the purpose of discriminating between object categories. Visual recognition algorithms learn m...
CVPR
2007
IEEE
13 years 10 months ago
2007
IEEE
Generative model learning is one of the key problems in machine learning and computer vision. Currently the use of generative models is limited due to the difficulty in effective...
SIBGRAPI
2009
IEEE
13 years 11 months ago
2009
IEEE
Appearance information is essential for applications such as tracking and people recognition. One of the main problems of using appearance-based discriminative models is the ambig...
EACL
2009
ACL Anthology
14 years 5 months ago
2009
ACL Anthology
Spoken Language Understanding aims at mapping a natural language spoken sentence into a semantic representation. In the last decade two main approaches have been pursued: generati...
ECCV
2006
Springer
14 years 6 months ago
2006
Springer
Abstract. Foreground and background segmentation is a typical problem in computer vision and medical imaging. In this paper, we propose a new learning based approach for 3D segment...
ECCV
2008
Springer
14 years 6 months ago
2008
Springer
Abstract. We present a comparative study on how to use discriminative learning methods such as classification, regression, and ranking to address deformable shape segmentation. Tra...