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ICDM
2009
IEEE
138views Data Mining» more  ICDM 2009»
13 years 7 months ago
Semantic-Rich Markov Models for Web Prefetching
Abstract--Domain knowledge for web applications is currently being made available as domain ontology with the advent of the semantic web, in which semantics govern relationships am...
Nizar R. Mabroukeh, Christie I. Ezeife
ICCV
2011
IEEE
12 years 9 months ago
Optical Flow Estimation Using Learned Sparse Model
Optical flow estimation is a fundamental and ill-posed problem in computer vision. To recover a dense flow field, appropriate spatial constraints have to be enforced. Recent ad...
Kui Jia, Xiaogang Wang, Xiaoou Tang
WSC
2004
13 years 11 months ago
Risk and Information in the Estimation of Hidden Markov Models
In this paper, we consider the relationship between risksensitivity and information. Product estimators are introduced as a generalization of Maximum A Posteriori Probability (MAP...
Vahid Reza Ramezani, Steven I. Marcus, Michael C. ...
FLAIRS
2001
13 years 11 months ago
Exploring the Use of Cognitive Models in AI Applications Using the Stroop Effect
Using a generalized adaptive frameworkfor unified cognitive modeling,wereplicate humanperformanceon a standardStrooptask withinan explanatorycomputational modelof vision, language...
Charles Hannon, Diane J. Cook
ICFP
2007
ACM
14 years 1 months ago
iTasks: executable specifications of interactive work flow systems for the web
In this paper we introduce the iTask system: a set of combinators to specify work flows in a pure functional language at a very high level of abstraction. Work flow systems are au...
Rinus Plasmeijer, Peter Achten, Pieter W. M. Koopm...