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SDM
2008
SIAM
256views Data Mining» more  SDM 2008»
15 years 5 months ago
Graph Mining with Variational Dirichlet Process Mixture Models
Graph data such as chemical compounds and XML documents are getting more common in many application domains. A main difficulty of graph data processing lies in the intrinsic high ...
Koji Tsuda, Kenichi Kurihara
SBBD
2000
168views Database» more  SBBD 2000»
15 years 5 months ago
Fast Feature Selection Using Fractal Dimension
Dimensionalitycurse and dimensionalityreduction are two issues that have retained highinterest for data mining, machine learning, multimedia indexing, and clustering. We present a...
Caetano Traina Jr., Agma J. M. Traina, Leejay Wu, ...
ICCV
2005
IEEE
16 years 5 months ago
Creating Efficient Codebooks for Visual Recognition
Visual codebook based quantization of robust appearance descriptors extracted from local image patches is an effective means of capturing image statistics for texture analysis and...
Bill Triggs, Frédéric Jurie
RECOMB
2002
Springer
16 years 4 months ago
Tests for gene clustering
Comparing chromosomal gene order in two or more related species is an important approach to studying the forces that guide genome organization and evolution. Linked clusters of si...
Dannie Durand, David Sankoff
ISI
2007
Springer
15 years 10 months ago
DOTS: Detection of Off-Topic Search via Result Clustering
— Often document dissemination is limited to a “need to know” basis so as to better maintain organizational trade secrets. Retrieving documents that are off-topic to a user...
Nazli Goharian, Alana Platt