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NN
2000
Springer
159views Neural Networks» more  NN 2000»
14 years 11 months ago
Independent component analysis for noisy data -- MEG data analysis
ICA (independent component analysis) is a new, simple and powerful idea for analyzing multi-variant data. One of the successful applications is neurobiological data analysis such ...
Shiro Ikeda, Keisuke Toyama
BMCBI
2010
124views more  BMCBI 2010»
15 years 21 min ago
A factor model to analyze heterogeneity in gene expression
Background: Microarray technology allows the simultaneous analysis of thousands of genes within a single experiment. Significance analyses of transcriptomic data ignore the gene d...
Yuna Blum, Guillaume Le Mignon, Sandrine Lagarrigu...
ICMCS
2006
IEEE
250views Multimedia» more  ICMCS 2006»
15 years 6 months ago
Adaptive Video News Story Tracking based on Earth Mover'S Distance
This paper proposes an adaptive system for video news story tracking based on the Earth Mover’s Distance (EMD). When an interesting story appears in the news, it is flagged man...
Mats Uddenfeldt, Keiichiro Hoashi, Kazunori Matsum...
ECCV
2006
Springer
16 years 1 months ago
Multi-way Clustering Using Super-Symmetric Non-negative Tensor Factorization
Abstract. We consider the problem of clustering data into k 2 clusters given complex relations -- going beyond pairwise -- between the data points. The complex n-wise relations ar...
Amnon Shashua, Ron Zass, Tamir Hazan
ACL
2010
14 years 10 months ago
Syntactic and Semantic Factors in Processing Difficulty: An Integrated Measure
The analysis of reading times can provide insights into the processes that underlie language comprehension, with longer reading times indicating greater cognitive load. There is e...
Jeff Mitchell, Mirella Lapata, Vera Demberg, Frank...