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» Two Dimensional Compressive Classifier for Sparse Images
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SADM
2010
173views more  SADM 2010»
13 years 2 months ago
Data reduction in classification: A simulated annealing based projection method
This paper is concerned with classifying high dimensional data into one of two categories. In various settings, such as when dealing with fMRI and microarray data, the number of v...
Tian Siva Tian, Rand R. Wilcox, Gareth M. James
CVPR
2005
IEEE
14 years 9 months ago
Rank-R Approximation of Tensors: Using Image-as-Matrix Representation
We present a novel multilinear algebra based approach for reduced dimensionality representation of image ensembles. We treat an image as a matrix, instead of a vector as in tradit...
Hongcheng Wang, Narendra Ahuja
MMM
2005
Springer
152views Multimedia» more  MMM 2005»
14 years 1 months ago
Learning No-Reference Quality Metric by Examples
In this paper, a novel learning based method is proposed for No-Reference image quality assessment. Instead of examining the exact prior knowledge for the given type of distortion...
Hanghang Tong, Mingjing Li, HongJiang Zhang, Chang...
ICIP
2006
IEEE
14 years 9 months ago
A Multi-View Video Codec Based on H.264
H.264 is the current state-of-the-art monoscopic video codec providing almost twice the coding efficiency with the same quality comparing the previous codecs. With the increasing ...
Cagdas Bilen, Anil Aksay, Gozde Bozdagi Akar
ICPR
2002
IEEE
14 years 8 months ago
Analyzing Non-Negative Matrix Factorization for Image Classification
The Non-negative Matrix Factorization technique (NMF) has been recently proposed for dimensionality reduction. NMF is capable to produce a region- or partbased representation of o...
Bernt Schiele, David Guillamet, Jordi Vitrià...