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CIVR
2007
Springer
15 years 10 months ago
Semantics reinforcement and fusion learning for multimedia streams
Fusion of multimedia streams for enhanced performance is a critical problem for retrieval. However, fusion performance tends to easily overfit the hillclimb set used to learn fus...
Dhiraj Joshi, Milind R. Naphade, Apostol Natsev
249
Voted
SIGMOD
2009
ACM
269views Database» more  SIGMOD 2009»
16 years 4 months ago
Efficient approximate entity extraction with edit distance constraints
Named entity recognition aims at extracting named entities from unstructured text. A recent trend of named entity recognition is finding approximate matches in the text with respe...
Wei Wang 0011, Chuan Xiao, Xuemin Lin, Chengqi Zha...
INFOCOM
2012
IEEE
13 years 6 months ago
On exploiting flow allocation with rate adaptation for green networking
Abstract—Network power consumption can be reduced considerably by adapting link data rates to their offered traffic loads. In this paper, we exploit how to leverage rate adaptat...
Jian Tang, Brendan Mumey, Yun Xing, Andy Johnson
CONSTRAINTS
2010
116views more  CONSTRAINTS 2010»
15 years 4 months ago
Erratum to "Reformulating table constraints using functional dependencies - an application to explanation generation"
Abstract. We had claimed that arc-consistency is preserved in a constraint reformulation relying on functional dependencies (Theorem 2 of [2]). We show that the statement of this t...
Hadrien Cambazard, Barry O'Sullivan
ICPR
2004
IEEE
16 years 5 months ago
Large Scale Feature Selection Using Modified Random Mutation Hill Climbing
Feature selection is a critical component of many pattern recognition applications. There are two distinct mechanisms for feature selection, namely the wrapper method and the filt...
Anil K. Jain, Michael E. Farmer, Shweta Bapna