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BMCBI
2010
144views more  BMCBI 2010»
13 years 8 months ago
Super-sparse principal component analyses for high-throughput genomic data
Background: Principal component analysis (PCA) has gained popularity as a method for the analysis of highdimensional genomic data. However, it is often difficult to interpret the ...
Donghwan Lee, Woojoo Lee, Youngjo Lee, Yudi Pawita...
IMC
2004
ACM
14 years 1 months ago
Modeling distances in large-scale networks by matrix factorization
In this paper, we propose a model for representing and predicting distances in large-scale networks by matrix factorization. The model is useful for network distance sensitive app...
Yun Mao, Lawrence K. Saul
ICDE
2007
IEEE
189views Database» more  ICDE 2007»
14 years 2 months ago
Integration of Motion Capture and EMG data for Classifying the Human Motions
Three dimensional motion capture facility is a powerful tool for quantitative and qualitative assessment of multijoint external movements. Electro-myograph (EMG) signals give the ...
Gaurav N. Pradhan, Navzer D. Engineer, Mihai Nadin...
TIP
2008
134views more  TIP 2008»
13 years 7 months ago
Higher Order SVD Analysis for Dynamic Texture Synthesis
Videos representing flames, water, smoke, etc. are often defined as dynamic textures: "textures" because they are characterized by redundant repetition of a pattern and &...
Roberto Costantini, Luciano Sbaiz, Sabine Süs...
SIGIR
2009
ACM
14 years 2 months ago
Fast nonparametric matrix factorization for large-scale collaborative filtering
With the sheer growth of online user data, it becomes challenging to develop preference learning algorithms that are sufficiently flexible in modeling but also affordable in com...
Kai Yu, Shenghuo Zhu, John D. Lafferty, Yihong Gon...