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KDD
2007
ACM
124views Data Mining» more  KDD 2007»
15 years 10 months ago
Hierarchical mixture models: a probabilistic analysis
Mixture models form one of the most widely used classes of generative models for describing structured and clustered data. In this paper we develop a new approach for the analysis...
Mark Sandler
CIC
2006
156views Communications» more  CIC 2006»
15 years 5 months ago
The Impact of Clustering in Distributed Topology Control
Abstract-- Topology control is the problem of assigning power levels to the nodes of an ad hoc network so as to maintain a specified network topology while minimizing energy consum...
Liang Zhao, Errol L. Lloyd
EMNLP
2010
15 years 2 months ago
Latent-Descriptor Clustering for Unsupervised POS Induction
We present a novel approach to distributionalonly, fully unsupervised, POS tagging, based on an adaptation of the EM algorithm for the estimation of a Gaussian mixture. In this ap...
Michael Lamar, Yariv Maron, Elie Bienenstock
ICIAP
1997
ACM
15 years 8 months ago
A Method for Segmentation of CT Head Images
A novel method for automatic segmentation of computed tomography CT head images of patients having spontaneous intracerebral brain hemorrhage has been presented in this work. The...
Sven Loncaric, Domagoj Kovacevic
IEICET
2010
92views more  IEICET 2010»
15 years 2 months ago
Spectral Methods for Thesaurus Construction
Traditionally, popular synonym acquisition methods are based on the distributional hypothesis, and a metric such as Jaccard coefficients is used to evaluate the similarity between...
Nobuyuki Shimizu, Masashi Sugiyama, Hiroshi Nakaga...