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» Making AC-3 an Optimal Algorithm
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111
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PVLDB
2010
159views more  PVLDB 2010»
15 years 1 months ago
Explore or Exploit? Effective Strategies for Disambiguating Large Databases
Data ambiguity is inherent in applications such as data integration, location-based services, and sensor monitoring. In many situations, it is possible to “clean”, or remove, ...
Reynold Cheng, Eric Lo, Xuan Yang, Ming-Hay Luk, X...
GECCO
2005
Springer
189views Optimization» more  GECCO 2005»
15 years 8 months ago
Molecular programming: evolving genetic programs in a test tube
We present a molecular computing algorithm for evolving DNA-encoded genetic programs in a test tube. The use of synthetic DNA molecules combined with biochemical techniques for va...
Byoung-Tak Zhang, Ha-Young Jang
147
Voted
CVPR
2008
IEEE
16 years 4 months ago
Conditional density learning via regression with application to deformable shape segmentation
Many vision problems can be cast as optimizing the conditional probability density function p(C|I) where I is an image and C is a vector of model parameters describing the image. ...
Jingdan Zhang, Shaohua Kevin Zhou, Dorin Comaniciu...
220
Voted
PODS
2009
ACM
130views Database» more  PODS 2009»
16 years 3 months ago
Secondary indexing in one dimension: beyond b-trees and bitmap indexes
Let be a finite, ordered alphabet, and consider a string x = x1x2 . . . xn n . A secondary index for x answers alphabet range queries of the form: Given a range [al, ar] , retu...
Rasmus Pagh, Srinivasa Rao Satti
122
Voted
KDD
2008
ACM
181views Data Mining» more  KDD 2008»
16 years 3 months ago
Learning subspace kernels for classification
Kernel methods have been applied successfully in many data mining tasks. Subspace kernel learning was recently proposed to discover an effective low-dimensional subspace of a kern...
Jianhui Chen, Shuiwang Ji, Betul Ceran, Qi Li, Min...