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» Unsupervised Learning of Image Transformations
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108
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ICMCS
2005
IEEE
165views Multimedia» more  ICMCS 2005»
15 years 8 months ago
Neighbor combination and transformation for hallucinating faces
In this paper, we propose a novel face hallucination framework based on image patches, which exploits local geometry structures of overlapping patches to hallucinate different com...
Wei Liu, Dahua Lin, Xiaoou Tang
126
Voted
ICMLA
2009
15 years 2 days ago
Transformation Learning Via Kernel Alignment
This article proposes an algorithm to automatically learn useful transformations of data to improve accuracy in supervised classification tasks. These transformations take the for...
Andrew Howard, Tony Jebara
144
Voted
ICCV
2011
IEEE
14 years 2 months ago
A Linear Subspace Learning Approach via Sparse Coding
Linear subspace learning (LSL) is a popular approach to image recognition and it aims to reveal the essential features of high dimensional data, e.g., facial images, in a lower di...
Lei Zhang, Pengfei Zhu, Qinghu Hu, David Zhang
109
Voted
ICIAR
2004
Springer
15 years 7 months ago
Learning an Information Theoretic Transform for Object Detection
We present an information theoretic approach for learning a linear dimension reduction transform for object classification. The theoretic guidance of the approach is that the trans...
Jianzhong Fang, Guoping Qiu
130
Voted
ICML
2009
IEEE
16 years 3 months ago
Multi-class image segmentation using conditional random fields and global classification
A key aspect of semantic image segmentation is to integrate local and global features for the prediction of local segment labels. We present an approach to multi-class segmentatio...
Nils Plath, Marc Toussaint, Shinichi Nakajima