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KDD
2008
ACM
172views Data Mining» more  KDD 2008»
14 years 10 months ago
Structured metric learning for high dimensional problems
The success of popular algorithms such as k-means clustering or nearest neighbor searches depend on the assumption that the underlying distance functions reflect domain-specific n...
Jason V. Davis, Inderjit S. Dhillon
BMCBI
2006
120views more  BMCBI 2006»
13 years 10 months ago
An improved distance measure between the expression profiles linking co-expression and co-regulation in mouse
Background: Many statistical algorithms combine microarray expression data and genome sequence data to identify transcription factor binding motifs in the low eukaryotic genomes. ...
Ryung S. Kim, Hongkai Ji, Wing Hung Wong
BMCBI
2005
121views more  BMCBI 2005»
13 years 10 months ago
Automated methods of predicting the function of biological sequences using GO and BLAST
Background: With the exponential increase in genomic sequence data there is a need to develop automated approaches to deducing the biological functions of novel sequences with hig...
Craig E. Jones, Ute Baumann, Alfred L. Brown
ICASSP
2011
IEEE
13 years 1 months ago
A knapsack problem formulation for relay selection in secure cooperative wireless communication
—Cooperative jamming (CJ) schemes support secure wireless communication in the presence of one or more eavesdroppers. Larger numbers of cooperative relays provide better secrecy ...
Shuangyu Luo, Hana Godrich, Athina P. Petropulu, H...
ICDE
2008
IEEE
336views Database» more  ICDE 2008»
14 years 11 months ago
Dominant Graph: An Efficient Indexing Structure to Answer Top-K Queries
Given a record set D and a query score function F, a top-k query returns k records from D, whose values of function F on their attributes are the highest. In this paper, we investi...
Lei Zou, Lei Chen 0002