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AMC
2011
14 years 10 months ago
Large correlation analysis
:In this paper, a novel supervised dimensionality reduction method is developed based on both the correlation analysis and the idea of large margin learning. The method aims to m...
Xiaohong Chen, Songcan Chen, Hui Xue
ICASSP
2011
IEEE
14 years 9 months ago
Proximal splitting methods for depth estimation
Stereo matching is an active area of research in image processing. In a recent work, a convex programming approach was developed in order to generate a dense disparity field. In ...
Mireille El Gheche, Jean-Christophe Pesquet, Jouma...
ICCV
2011
IEEE
14 years 6 months ago
Self-Calibrating Depth from Refraction
In this paper, we introduce a novel method for depth acquisition based on refraction of light. A scene is captured twice by a fixed perspective camera, with the first image capt...
Zhihu Chen, Kwan-Yee Wong, Yasuyuki Matsushita, Xi...
ICCV
2011
IEEE
14 years 4 months ago
Correspondence Free Registration through a Point-to-Model Distance Minimization
This paper presents a novel formulation, which derives in a smooth minimization problem, to tackle the rigid registration between a given point set and a model set. Unlike most of ...
Mohammad Rouhani and Angel D. Sappa
CORR
2012
Springer
220views Education» more  CORR 2012»
14 years 2 months ago
Sparse Topical Coding
We present sparse topical coding (STC), a non-probabilistic formulation of topic models for discovering latent representations of large collections of data. Unlike probabilistic t...
Jun Zhu, Eric P. Xing