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ENGL
2007
180views more  ENGL 2007»
13 years 7 months 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
TCSV
2008
177views more  TCSV 2008»
13 years 7 months ago
An ICA Mixture Hidden Markov Model for Video Content Analysis
In this paper, a new theoretical framework based on hidden Markov model (HMM) and independent component analysis (ICA) mixture model is presented for content analysis of video, nam...
Jian Zhou, Xiao-Ping Zhang
CVPR
2003
IEEE
14 years 9 months ago
Video-Based Face Recognition Using Probabilistic Appearance Manifolds
This paper presents a novel method to model and recognize human faces in video sequences. Each registered person is represented by a low-dimensional appearance manifold in the amb...
Kuang-Chih Lee, Jeffrey Ho, Ming-Hsuan Yang, David...
NAR
2000
135views more  NAR 2000»
13 years 7 months ago
HGBASE: a database of SNPs and other variations in and around human genes
Human genome polymorphism is expected to play a key role in defining the etiologic basis of phenotypic differences between individuals in aspects such as drug responses and common...
Anthony J. Brookes, Heikki Lehväslaiho, Maria...
ALGORITHMICA
1998
103views more  ALGORITHMICA 1998»
13 years 7 months ago
On Bayes Methods for On-Line Boolean Prediction
We examine a general Bayesian framework for constructing on-line prediction algorithms in the experts setting. These algorithms predict the bits of an unknown Boolean sequence usin...
Nicolò Cesa-Bianchi, David P. Helmbold, San...