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102
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ICCV
2007
IEEE
15 years 7 months ago
Laplacian PCA and Its Applications
Dimensionality reduction plays a fundamental role in data processing, for which principal component analysis (PCA) is widely used. In this paper, we develop the Laplacian PCA (LPC...
Deli Zhao, Zhouchen Lin, Xiaoou Tang
ICRA
2007
IEEE
224views Robotics» more  ICRA 2007»
15 years 7 months ago
Visual Categorization Robust to Large Intra-Class Variations using Entropy-guided Codebook
Abstract— Categorizing visual elements is fundamentally important for autonomous mobile robots to get intelligence such as new object acquisition and topological place classific...
Sungho Kim, In-So Kweon, Chil-Woo Lee
108
Voted
WACV
2007
IEEE
15 years 7 months ago
Object Categorization Robust to Surface Markings using Entropy-guided Codebook
Visual categorization is fundamentally important for autonomous mobile robots to get intelligence such as novel object acquisition and topological place recognition. The main dif...
Sungho Kim, In-So Kweon
80
Voted
CIVR
2007
Springer
154views Image Analysis» more  CIVR 2007»
15 years 7 months ago
Representing shape with a spatial pyramid kernel
The objective of this paper is classifying images by the object categories they contain, for example motorbikes or dolphins. There are three areas of novelty. First, we introduce ...
Anna Bosch, Andrew Zisserman, Xavier Muñoz
95
Voted
ECML
2007
Springer
15 years 7 months ago
Source Separation with Gaussian Process Models
In this paper we address a method of source separation in the case where sources have certain temporal structures. The key contribution in this paper is to incorporate Gaussian pro...
Sunho Park, Seungjin Choi