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CVPR
2001
IEEE
16 years 6 months ago
Learning Models for Object Recognition
We consider learning models for object recognition from examples. Our method is motivated by systems that use the Hausdorff distance as a shape comparison measure. Typically an ob...
Pedro F. Felzenszwalb
TAICPART
2006
IEEE
131views Education» more  TAICPART 2006»
15 years 10 months ago
Bogor: A Flexible Framework for Creating Software Model Checkers
Model checking has proven to be an effective technology for verification and debugging in hardware and more recently in software domains. With the proliferation of multicore arch...
Robby, Matthew B. Dwyer, John Hatcliff
IRREGULAR
1998
Springer
15 years 8 months ago
Modeling Dynamic Load Balancing in Molecular Dynamics to Achieve Scalable Parallel Execution
To achieve scalable parallel performance in Molecular Dynamics Simulation, we have modeled and implemented several dynamic spatial domain decomposition algorithms. The modeling is ...
Lars S. Nyland, Jan Prins, Ru Huai Yun, Jan Herman...
CIKM
2008
Springer
15 years 6 months ago
Ranked feature fusion models for ad hoc retrieval
We introduce the Ranked Feature Fusion framework for information retrieval system design. Typical information retrieval formalisms such as the vector space model, the bestmatch mo...
Jeremy Pickens, Gene Golovchinsky
SIGIR
2004
ACM
15 years 9 months ago
Dependence language model for information retrieval
This paper presents a new dependence language modeling approach to information retrieval. The approach extends the basic language modeling approach based on unigram by relaxing th...
Jianfeng Gao, Jian-Yun Nie, Guangyuan Wu, Guihong ...