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» Feature Weighting for Segmentation
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SIGIR
2011
ACM
14 years 5 months ago
Parameterized concept weighting in verbose queries
The majority of the current information retrieval models weight the query concepts (e.g., terms or phrases) in an unsupervised manner, based solely on the collection statistics. I...
Michael Bendersky, Donald Metzler, W. Bruce Croft
AICT
2005
IEEE
194views Communications» more  AICT 2005»
15 years 8 months ago
Approximations to Maximum Weight Matching Scheduling Algorithms of Low Complexity
The choice of the scheduling algorithm is a major design criteria of a switch. Whereas it is known that maximum weight matching algorithms guarantee the stability of an input queu...
Claus Bauer
123
Voted
ITCC
2002
IEEE
15 years 7 months ago
Improve Precategorized Collection Retrieval by Using Supervised Term Weighting Schemes
The emergence of the world-wide-web has led to an increased interest in methods for searching for information. A key characteristic of many of the online document collections is t...
Ying Zhao, George Karypis
150
Voted
FCT
2007
Springer
15 years 6 months ago
On Approximating Optimal Weighted Lobbying, and Frequency of Correctness Versus Average-Case Polynomial Time
We investigate issues regarding two hard problems related to voting, the optimal weighted lobbying problem and the winner problem for Dodgson elections. Regarding the former, Chris...
Gábor Erdélyi, Lane A. Hemaspaandra,...
ICMCS
2005
IEEE
123views Multimedia» more  ICMCS 2005»
15 years 8 months ago
Hidden Markov Model Based Weighted Likelihood Discriminant for Minimum Error Shape Classification
The goal of this communication is to present a weighted likelihood discriminant for minimum error shape classification. Different from traditional Maximum Likelihood (ML) methods...
Ninad Thakoor, Sungyong Jung, Jean Gao