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» Learning and prediction of slip from visual information
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PRIB
2010
Springer
123views Bioinformatics» more  PRIB 2010»
13 years 7 months ago
Machine Learning Study of DNA Binding by Transcription Factors from the LacI Family
We studied 1372 LacI-family transcription factors and their 4484 DNA binding sites using machine learning algorithms and feature selection techniques. The Naive Bayes classifier a...
Gennady G. Fedonin, Mikhail S. Gelfand
CHI
2006
ACM
14 years 9 months ago
Integrating models of human-computer visual interaction
Predicting visual search behavior in human-computer interaction is a challenging problem. It is important for predictive modeling of human-computer interaction to integrate the vi...
Tim Halverson
NIPS
2003
13 years 10 months ago
Prediction on Spike Data Using Kernel Algorithms
We report and compare the performance of different learning algorithms based on data from cortical recordings. The task is to predict the orientation of visual stimuli from the ac...
Jan Eichhorn, Andreas S. Tolias, Alexander Zien, M...
ICASSP
2009
IEEE
14 years 4 months ago
Visual saliency with side information
We propose novel algorithms for organizing large image and video datasets using both the visual content and the associated sideinformation, such as time, location, authorship, and...
Wei Jiang, Lexing Xie, Shih-Fu Chang
IV
2010
IEEE
140views Visualization» more  IV 2010»
13 years 7 months ago
GVIS: An Integrating Infrastructure for Adaptively Mashing up User Data from Different Sources
In this article we present an infrastructure for creating mash up visual representations of the user profile that combines data from different sources. We explored this approach ...
Luca Mazzola, Riccardo Mazza