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75
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IJCAI
1993
15 years 2 months ago
The Statistical Learning of Accurate Heuristics
Heuristics used by search algorithms are usually composed of more primitive functions which we call "features". A method for combining features is presented which is bas...
Anna Bramanti-Gregor, Henry W. Davis
102
Voted
ICMCS
2010
IEEE
258views Multimedia» more  ICMCS 2010»
15 years 1 months ago
A comparative study of similarity measures for content-based multimedia retrieval
Determining similarities among data objects is a core task of content-based multimedia retrieval systems. Approximating data object contents via flexible feature representations, ...
Christian Beecks, Merih Seran Uysal, Thomas Seidl
110
Voted
ICML
2010
IEEE
15 years 26 days ago
Spherical Topic Models
We introduce the Spherical Admixture Model (SAM), a Bayesian topic model for arbitrary 2 normalized data. SAM maintains the same hierarchical structure as Latent Dirichlet Allocat...
Joseph Reisinger, Austin Waters, Bryan Silverthorn...
73
Voted
ICASSP
2010
IEEE
15 years 26 days ago
Paraphrase detection on SMS messages in automobiles
Voice search technology has been successfully applied to help drivers reply SMS messages in automobiles, in which a predefined SMS message template set is searched with ASR hypoth...
Wei Wu, Yun-Cheng Ju, Xiao Li, Ye-Yi Wang
76
Voted
IJBC
2007
72views more  IJBC 2007»
15 years 13 days ago
Centrality Estimation in Large Networks
Centrality indices are an essential concept in network analysis. For those based on shortest-path distances the computation is at least quadratic in the number of nodes, since it ...
Ulrik Brandes, Christian Pich