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» Learning Gaussian Process Models from Uncertain Data
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KDD
2006
ACM
240views Data Mining» more  KDD 2006»
14 years 9 months ago
Adaptive event detection with time-varying poisson processes
Time-series of count data are generated in many different contexts, such as web access logging, freeway traffic monitoring, and security logs associated with buildings. Since this...
Alexander T. Ihler, Jon Hutchins, Padhraic Smyth
ICPR
2002
IEEE
14 years 9 months ago
A Statistical Modeling Approach to Content Based Video Retrieval
Statistical modeling for content based retrieval is examined in the context of recent TREC Video benchmark exercise. The TREC Video exercise can be viewed as a test bed for evalua...
Milind R. Naphade, Sankar Basu, John R. Smith, Chi...
IAT
2006
IEEE
14 years 2 months ago
Representing Context for Multiagent Trust Modeling
We present a universal mechanism that can be combined with existing trust models to extend their capabilities towards efficient modelling of the situational (contextdependent) tr...
Martin Rehák, Milos Gregor, Michal Pechouce...
IJIT
2004
13 years 10 months ago
Evaluation of Algorithms for Sequential Decision in Biosonar Target Classification
A sequential decision problem, based on the task of identifying the species of trees given acoustic echo data collected from them, is considered with well-known stochastic classifi...
Turgay Temel, John Hallam
HICSS
2009
IEEE
122views Biometrics» more  HICSS 2009»
14 years 3 months ago
Impacts of Organizational Learning and Knowledge Transfer on Investment Decisions under Uncertainty
Investments in innovative technologies face uncertainties and are often made in stages. We develop a multi-period game-theoretical model where the potential of a new technology is...
Xianjun Geng, Lihui Lin, Andrew B. Whinston