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» Learning and prediction of slip from visual information
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JOCN
2010
98views more  JOCN 2010»
13 years 7 months ago
Visual Anticipatory Information Modulates Multisensory Interactions of Artificial Audiovisual Stimuli
■ The neural activity of speech sound processing (the N1 component of the auditory ERP) can be suppressed if a speech sound is accompanied by concordant lip movements. Here we d...
Jean Vroomen, Jeroen J. Stekelenburg
ISMB
2004
13 years 10 months ago
Predicting gene regulation by sigma factors in Bacillus subtilis from genome-wide data
Motivation: Sigma factors regulate the expression of genes in Bacillus subtilis at the transcriptional level. First we assess the ability of currently available gene regulatory ne...
Michiel J. L. de Hoon, Yuko Makita, Seiya Imoto, K...
BMCBI
2007
91views more  BMCBI 2007»
13 years 9 months ago
A machine learning approach for the identification of odorant binding proteins from sequence-derived properties
Background: Odorant binding proteins (OBPs) are believed to shuttle odorants from the environment to the underlying odorant receptors, for which they could potentially serve as od...
Ganesan Pugalenthi, E. Ke Tang, Ponnuthurai N. Sug...
PREMI
2005
Springer
14 years 2 months ago
Hybrid Hierarchical Learning from Dynamic Scenes
The work proposes a hierarchical architecture for learning amic scenes at various levels of knowledge abstraction. The raw visual information is processed at different stages to g...
Prithwijit Guha, Pradeep Vaghela, Pabitra Mitra, K...
CHI
2009
ACM
14 years 9 months ago
What do you see when you're surfing?: using eye tracking to predict salient regions of web pages
An understanding of how people allocate their visual attention when viewing Web pages is very important for Web authors, interface designers, advertisers and others. Such knowledg...
Georg Buscher, Edward Cutrell, Meredith Ringel Mor...