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SAT
2009
Springer
111views Hardware» more  SAT 2009»
14 years 3 months ago
Restart Strategy Selection Using Machine Learning Techniques
Abstract. Restart strategies are an important factor in the performance of conflict-driven Davis Putnam style SAT solvers. Selecting a good restart strategy for a problem instance...
Shai Haim, Toby Walsh
CIVR
2009
Springer
151views Image Analysis» more  CIVR 2009»
14 years 3 months ago
Reusing annotation labor for concept selection
Describing shots through the occurrence of semantic concepts is the first step towards modeling the content of a video semantically. An important challenge is to automatically se...
Robin Aly, Djoerd Hiemstra, Arjen P. de Vries
SIGMOD
2009
ACM
201views Database» more  SIGMOD 2009»
14 years 9 months ago
Cost based plan selection for xpath
We present a complete XPath cost-based optimization and execution framework and demonstrate its effectiveness and efficiency for a variety of queries and datasets. The framework i...
Haris Georgiadis, Minas Charalambides, Vasilis Vas...
BMCBI
2008
107views more  BMCBI 2008»
13 years 9 months ago
A mixture model approach to sample size estimation in two-sample comparative microarray experiments
Background: Choosing the appropriate sample size is an important step in the design of a microarray experiment, and recently methods have been proposed that estimate sample sizes ...
Tommy S. Jørstad, Herman Midelfart, Atle M....
SAMT
2009
Springer
176views Multimedia» more  SAMT 2009»
14 years 3 months ago
Shape-Based Autotagging of 3D Models for Retrieval
This paper describes an automatic annotation, or autotagging, algorithm that attaches textual tags to 3D models based on their shape and semantic classes. The proposed method emplo...
Ryutarou Ohbuchi, Shun Kawamura