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SIGIR
2005
ACM
15 years 6 months ago
A Markov random field model for term dependencies
This paper develops a general, formal framework for modeling term dependencies via Markov random fields. The model allows for arbitrary text features to be incorporated as eviden...
Donald Metzler, W. Bruce Croft
103
Voted
ICML
1994
IEEE
15 years 4 months ago
Prototype and Feature Selection by Sampling and Random Mutation Hill Climbing Algorithms
With the goal of reducing computational costs without sacrificing accuracy, we describe two algorithms to find sets of prototypes for nearest neighbor classification. Here, the te...
David B. Skalak
112
Voted
INFOCOM
2010
IEEE
14 years 11 months ago
Joint Random Access and Power Selection for Maximal Throughput in Wireless Networks
—In wireless networks, how to select transmit power that maximizes throughput is a challenging problem. On one hand, transmissions at a high power level could increase interferen...
Yan Gao, Zheng Zeng, P. R. Kumar
ICIP
2007
IEEE
16 years 2 months ago
Markov Random Field Model-Based Edge-Directed Image Interpolation
Abstract-- This paper presents an edge-directed image interpolation algorithm. In the proposed algorithm, the edge directions are implicitly estimated with a statistical-based appr...
Min Li, Truong Q. Nguyen
ICPR
2004
IEEE
16 years 1 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