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160
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CVPR
2010
IEEE
15 years 4 months ago
Robust RVM regression using sparse outlier model
Kernel regression techniques such as Relevance Vector Machine (RVM) regression, Support Vector Regression and Gaussian processes are widely used for solving many computer vision p...
Kaushik Mitra, Ashok Veeraraghavan, Rama Chellappa
154
Voted
CVIU
2008
203views more  CVIU 2008»
15 years 3 months ago
A computer vision model for visual-object-based attention and eye movements
This paper presents a new computational framework for modelling visual-object based attention and attention-driven eye movements within an integrated system in a biologically insp...
Yaoru Sun, Robert B. Fisher, Fang Wang, Herman Mar...
TNN
1998
125views more  TNN 1998»
15 years 3 months ago
Symbolic connectionism in natural language disambiguation
Abstract—Natural language understanding involves the simultaneous consideration of a large number of different sources of information. Traditional methods employed in language an...
Samuel W. K. Chan, James Franklin
131
Voted
CIKM
2009
Springer
15 years 10 months ago
Easiest-first search: towards comprehension-based web search
Although Web search engines have become information gateways to the Internet, for queries containing technical terms, search results often contain pages that are difficult to be ...
Makoto Nakatani, Adam Jatowt, Katsumi Tanaka
137
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CCGRID
2008
IEEE
15 years 10 months ago
Grid Differentiated Services: A Reinforcement Learning Approach
—Large scale production grids are a major case for autonomic computing. Following the classical definition of Kephart, an autonomic computing system should optimize its own beha...
Julien Perez, Cécile Germain-Renaud, Bal&aa...