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BMCBI
2005
136views more  BMCBI 2005»
14 years 11 months ago
Identification of clustered microRNAs using an ab initio prediction method
Background: MicroRNAs (miRNAs) are endogenous 21 to 23-nucleotide RNA molecules that regulate protein-coding gene expression in plants and animals via the RNA interference pathway...
Alain Sewer, Nicodème Paul, Pablo Landgraf,...
MM
2006
ACM
130views Multimedia» more  MM 2006»
15 years 5 months ago
An unsupervised method for clustering images based on their salient regions of interest
We have developed a biologically-motivated, unsupervised way of grouping together images whose salient regions of interest (ROIs) are perceptually similar regardless of the visual...
Gustavo B. Borba, Humberto R. Gamba, Oge Marques, ...
120
Voted
SIGMOD
1996
ACM
151views Database» more  SIGMOD 1996»
15 years 3 months ago
BIRCH: An Efficient Data Clustering Method for Very Large Databases
Finding useful patterns in large datasets has attracted considerable interest recently, and one of the most widely st,udied problems in this area is the identification of clusters...
Tian Zhang, Raghu Ramakrishnan, Miron Livny
RT
1997
Springer
15 years 3 months ago
An Empirical Comparison of Progressive and Wavelet Radiosity
Abstract. This paper presents a comparison of basic progressive and wavelet radiosity algorithms. Several variants of each algorithm were run on a set of scenes at several paramete...
Andrew J. Willmott, Paul S. Heckbert
ISPAN
2005
IEEE
15 years 5 months ago
A Scalable Method for Predicting Network Performance in Heterogeneous Clusters
An important requirement for the effective scheduling of parallel applications on large heterogeneous clusters is a current view of system resource availability. Maintaining such ...
Dimitrios Katramatos, Steve J. Chapin