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» Dynamic Sample Selection for Approximate Query Processing
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CEC
2007
IEEE
14 years 2 months ago
A Utile Function Optimizer
Abstract— We recast the problem of unconstrained continuous evolutionary optimization as inference in a fixed graphical model. This approach allows us to address several pervasi...
Christopher K. Monson, Kevin D. Seppi, James L. Ca...
MIR
2004
ACM
171views Multimedia» more  MIR 2004»
14 years 1 months ago
Mean version space: a new active learning method for content-based image retrieval
In content-based image retrieval, relevance feedback has been introduced to narrow the gap between low-level image feature and high-level semantic concept. Furthermore, to speed u...
Jingrui He, Hanghang Tong, Mingjing Li, HongJiang ...
MM
2004
ACM
112views Multimedia» more  MM 2004»
14 years 1 months ago
LyricAlly: automatic synchronization of acoustic musical signals and textual lyrics
We present a prototype that automatically aligns acoustic musical signals with their corresponding textual lyrics, in a manner similar to manually-aligned karaoke. We tackle this ...
Ye Wang, Min-Yen Kan, Tin Lay Nwe, Arun Shenoy, Ju...
ICDE
2005
IEEE
120views Database» more  ICDE 2005»
14 years 9 months ago
Asymmetric Batch Incremental View Maintenance
Incremental view maintenance has found a growing number of applications recently, including data warehousing, continuous query processing, publish/subscribe systems, etc. Batch pr...
Hai Yu, Hao He, Jun Yang 0001, Junyi Xie
SDM
2008
SIAM
138views Data Mining» more  SDM 2008»
13 years 10 months ago
Learning Markov Network Structure using Few Independence Tests
In this paper we present the Dynamic Grow-Shrink Inference-based Markov network learning algorithm (abbreviated DGSIMN), which improves on GSIMN, the state-ofthe-art algorithm for...
Parichey Gandhi, Facundo Bromberg, Dimitris Margar...