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» A probabilistic model based approach for blended search
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PVLDB
2010
252views more  PVLDB 2010»
13 years 2 months ago
Efficient and Effective Similarity Search over Probabilistic Data based on Earth Mover's Distance
Probabilistic data is coming as a new deluge along with the technical advances on geographical tracking, multimedia processing, sensor network and RFID. While similarity search is...
Jia Xu, Zhenjie Zhang, Anthony K. H. Tung, Ge Yu
JCSC
1998
159views more  JCSC 1998»
13 years 7 months ago
An Approach to Object System Modeling by State-Based Object Petri Nets
For many years, Petri nets have been used for modeling the behavior of various types of concurrent systems. While these net models are especially well suited to capture the behavi...
A. Newman, Sol M. Shatz, X. Xie
EKAW
2004
Springer
14 years 23 days ago
Incremental Knowledge Acquisition for Improving Probabilistic Search Algorithms
A new incremental knowledge acquisition approach for the effective development of efficient problem solvers for combinatorial problems based on probabilistic search algorithms is ...
J. P. Bekmann, Achim G. Hoffmann
GECCO
2007
Springer
155views Optimization» more  GECCO 2007»
14 years 1 months ago
Solving the MAXSAT problem using a multivariate EDA based on Markov networks
Markov Networks (also known as Markov Random Fields) have been proposed as a new approach to probabilistic modelling in Estimation of Distribution Algorithms (EDAs). An EDA employ...
Alexander E. I. Brownlee, John A. W. McCall, Deryc...
ECCV
2004
Springer
14 years 9 months ago
Human Pose Estimation Using Learnt Probabilistic Region Similarities and Partial Configurations
Abstract. A model of human appearance is presented for efficient pose estimation from real-world images. In common with related approaches, a high-level model defines a space of co...
Timothy J. Roberts, Stephen J. McKenna, Ian W. Ric...