121
Voted
CVPR
2005
IEEE
16 years 2 months ago
2005
IEEE
In the last decades, a large family of algorithms supervised or unsupervised; stemming from statistic or geometry theory have been proposed to provide different solutions to the p...
124
Voted
CVPR
2005
IEEE
16 years 2 months ago
2005
IEEE
It was prescriptive that an image matrix was transformed into a vector before the kernel-based subspace learning. In this paper, we take the Kernel Discriminant Analysis (KDA) alg...
CVPR
2005
IEEE
16 years 2 months ago
2005
IEEE
This paper presents a decentralized approach to multiple target tracking. The novelty of this approach lies in the use of a set of autonomous while collaborative trackers to overc...
110
Voted
CVPR
2005
IEEE
16 years 2 months ago
2005
IEEE
In this paper, we present a novel approach to solving the supervised dimensionality reduction problem by encoding an image object as a general tensor of 2nd or higher order. First...
106
click to vote
CVPR
2005
IEEE
16 years 2 months ago
2005
IEEE
This paper addresses the subspace properties and the recovery of articulated motion. We point out that the global motion subspace of an articulated object is a combination of a nu...
127
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CVPR
2005
IEEE
16 years 2 months ago
2005
IEEE
The mean shift algorithm has achieved considerable success in object tracking due to its simplicity and robustness. It finds local minima of a similarity measure between the color...
105
Voted
CVPR
2005
IEEE
16 years 2 months ago
2005
IEEE
For large scale automatic semantic video characterization, it is necessary to learn and model a large number of semantic concepts. But a major obstacle to this is the insufficienc...
95
Voted
CVPR
2005
IEEE
16 years 2 months ago
2005
IEEE
A representative subspace is significant for image analysis, while the corresponding techniques often suffer from the curse of dimensionality dilemma. In this paper, we propose a ...
61
Voted
CVPR
2005
IEEE
16 years 2 months ago
2005
IEEE
123
click to vote
CVPR
2005
IEEE
16 years 2 months ago
2005
IEEE
Object detection in aerial imagery has been well studied in computer vision for years. However, given the complexity of large variations of the appearance of the object and the ba...