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» Using Model Counting to Find Optimal Distinguishing Tests
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85
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SIAMIS
2010
171views more  SIAMIS 2010»
14 years 4 months ago
Global Optimization for One-Dimensional Structure and Motion Problems
We study geometric reconstruction problems in one-dimensional retina vision. In such problems, the scene is modeled as a 2D plane, and the camera sensor produces 1D images of the s...
Olof Enqvist, Fredrik Kahl, Carl Olsson, Kalle &Ar...
ICML
2009
IEEE
15 years 10 months ago
Sparse Gaussian graphical models with unknown block structure
Recent work has shown that one can learn the structure of Gaussian Graphical Models by imposing an L1 penalty on the precision matrix, and then using efficient convex optimization...
Benjamin M. Marlin, Kevin P. Murphy
92
Voted
SIGIR
2009
ACM
15 years 4 months ago
Positional language models for information retrieval
Although many variants of language models have been proposed for information retrieval, there are two related retrieval heuristics remaining “external” to the language modelin...
Yuanhua Lv, ChengXiang Zhai
83
Voted
CVPR
2007
IEEE
15 years 11 months ago
Scene Segmentation and Categorization Using NCuts
For video summarization and retrieval, one of the important modules is to group temporal-spatial coherent shots into high-level semantic video clips namely scene segmentation. In ...
Yanjun Zhao, Tao Wang, Peng Wang, Wei Hu, Yangzhou...
74
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GECCO
2008
Springer
145views Optimization» more  GECCO 2008»
14 years 10 months ago
An evolutionary approach for competency-based curriculum sequencing
The process of creating e-learning contents using reusable learning objects (LOs) can be broken down in two sub-processes: LOs finding and LO sequencing. Sequencing is usually per...
Luis de Marcos, José-Javier Martínez...