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BMCBI
2008
122views more  BMCBI 2008»
15 years 6 months ago
A practical comparison of two K-Means clustering algorithms
Background: Data clustering is a powerful technique for identifying data with similar characteristics, such as genes with similar expression patterns. However, not all implementat...
Gregory A. Wilkin, Xiuzhen Huang
TCOM
2008
136views more  TCOM 2008»
15 years 6 months ago
Cross-layer adaptive transmission with incomplete system state information
We consider a point-to-point communication system in which data packets randomly arrive to a finite-length buffer and are subsequently transmitted to a receiver over a timevarying ...
Anh Tuan Hoang, Mehul Motani
TPDS
2002
173views more  TPDS 2002»
15 years 5 months ago
Data Gathering Algorithms in Sensor Networks Using Energy Metrics
Sensor webs consisting of nodes with limited battery power and wireless communications are deployed to collect useful information from the field. Gathering sensed information in an...
Stephanie Lindsey, Cauligi S. Raghavendra, Krishna...
SASO
2010
IEEE
15 years 4 months ago
Distributed Control for Small Customer Energy Demand Management
We present the ColoredPower algorithm, which is designed to provide collaborative electricity demand shaping for residential and small-business customers. Demand shaping for this m...
Vinayak V. Ranade, Jacob Beal
CVPR
2008
IEEE
16 years 8 months ago
Learning class-specific affinities for image labelling
Spectral clustering and eigenvector-based methods have become increasingly popular in segmentation and recognition. Although the choice of the pairwise similarity metric (or affin...
Dhruv Batra, Rahul Sukthankar, Tsuhan Chen