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110
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ENGL
2007
180views more  ENGL 2007»
15 years 17 days ago
Biological Data Mining for Genomic Clustering Using Unsupervised Neural Learning
— The paper aims at designing a scheme for automatic identification of a species from its genome sequence. A set of 64 three-tuple keywords is first generated using the four type...
Shreyas Sen, Seetharam Narasimhan, Amit Konar
82
Voted
DELTA
2008
IEEE
15 years 7 months ago
Eigenspectra Palmprint Recognition
This paper introduces a novel technique for palmprint recognition on the transform domain, based on combining principle component analysis (PCA) and Fourier domain. Principal Comp...
Moussadek Laadjel, Ahmed Bouridane, Fatih Kurugoll...
94
Voted
CVPR
2004
IEEE
16 years 2 months ago
A Rao-Blackwellized Particle Filter for EigenTracking
Subspace representations have been a popular way to model appearance in computer vision. In Jepson and Black's influential paper on EigenTracking, they were successfully appl...
Zia Khan, Tucker R. Balch, Frank Dellaert
100
Voted
ICPR
2006
IEEE
16 years 1 months ago
Weakly Supervised Learning on Pre-image Problem in Kernel Methods
This paper presents a novel alternative approach, namely weakly supervised learning (WSL), to learn the pre-image of a feature vector in the feature space induced by a kernel. It ...
Weishi Zheng, Jian-Huang Lai, Pong Chi Yuen
110
Voted
MICCAI
2003
Springer
16 years 1 months ago
Statistical Atlas-Based Detection of Abnormalities in Brain Perfusion: Comparing Models and Estimating Detection Performance
Abstract. When developing statistical models of normal brain perfusion, two questions are of crucial interest: How well does an atlas describe normality and how sensitive is it at ...
Torbjørn Vik, Fabrice Heitz, Jean-Paul Arms...