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» A dependence maximization view of clustering
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ICDE
2003
IEEE
116views Database» more  ICDE 2003»
14 years 9 months ago
Joining Massive High-Dimensional Datasets
We consider the problem of joining massive datasets. We propose two techniques for minimizing disk I/O cost of join operations for both spatial and sequence data. Our techniques o...
Tamer Kahveci, Christian A. Lang, Ambuj K. Singh
BMCBI
2006
112views more  BMCBI 2006»
13 years 7 months ago
A phylogenomic gene cluster resource: the Phylogenetically Inferred Groups (PhIGs) database
Background: We present here the PhIGs database, a phylogenomic resource for sequenced genomes. Although many methods exist for clustering gene families, very few attempt to create...
Paramvir S. Dehal, Jeffrey L. Boore
KDD
2002
ACM
179views Data Mining» more  KDD 2002»
14 years 8 months ago
Combining clustering and co-training to enhance text classification using unlabelled data
In this paper, we present a new co-training strategy that makes use of unlabelled data. It trains two predictors in parallel, with each predictor labelling the unlabelled data for...
Bhavani Raskutti, Herman L. Ferrá, Adam Kow...
VISUALIZATION
2002
IEEE
14 years 16 days ago
Maximum Entropy Light Source Placement
Finding the “best” viewing parameters for a scene is quite difficult but a very important problem. Fully automatic procedures seem to be impossible as the notion of “best...
Stefan Gumhold
ICIP
2010
IEEE
13 years 5 months ago
Multi-stream partitioning and parity rate allocation for scalable IPTV delivery
We address the joint problem of clustering heterogenous clients and allocating scalable video source rate and FEC redundancy in IPTV systems. We propose a streaming solution that ...
Jacob Chakareski, Pascal Frossard