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167
Voted
KDD
2010
ACM
274views Data Mining» more  KDD 2010»
15 years 7 months ago
Grafting-light: fast, incremental feature selection and structure learning of Markov random fields
Feature selection is an important task in order to achieve better generalizability in high dimensional learning, and structure learning of Markov random fields (MRFs) can automat...
Jun Zhu, Ni Lao, Eric P. Xing
SIGCOMM
2004
ACM
15 years 9 months ago
A first-principles approach to understanding the internet's router-level topology
A detailed understanding of the many facets of the Internet’s topological structure is critical for evaluating the performance of networking protocols, for assessing the effecti...
Lun Li, David Alderson, Walter Willinger, John Doy...
138
Voted
ISBI
2004
IEEE
16 years 4 months ago
Subspace Models for Functional MRI Data Analysis
The models used for analyzing functional MRI (fMRI) data have profound impact on the detection of active brain areas. In this paper temporal and spatial linear subspace models for...
Ola Friman
126
Voted
ACCV
2006
Springer
15 years 9 months ago
Smooth Foreground-Background Segmentation for Video Processing
Abstract. We propose an efficient way to account for spatial smoothness in foreground-background segmentation of video sequences. Most statistical background modeling techniques re...
Konrad Schindler, Hanzi Wang
CN
2000
80views more  CN 2000»
15 years 3 months ago
An entropy approach to unintrusive targeted advertising on the Web
This paper describes the formulation of a new model for unintrusive targeted advertising on the web, extending the linear programming approach taken by Langheinrich et al.[10] A f...
John A. Tomlin