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» Clustering by pattern similarity in large data sets
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ICDM
2009
IEEE
160views Data Mining» more  ICDM 2009»
14 years 3 months ago
Fast Online Training of Ramp Loss Support Vector Machines
—A fast online algorithm OnlineSVMR for training Ramp-Loss Support Vector Machines (SVMR s) is proposed. It finds the optimal SVMR for t+1 training examples using SVMR built on t...
Zhuang Wang, Slobodan Vucetic
ICDE
2005
IEEE
107views Database» more  ICDE 2005»
14 years 2 months ago
The Quality vs. Time Trade-off for Approximate Image Descriptor Search
In recent years, content-based image retrieval has become more and more important in many application areas. Similarity retrieval is inherently a very demanding process, in partic...
Rut Siguroardottir, Björn Þór J&...
BMCBI
2010
183views more  BMCBI 2010»
13 years 8 months ago
SOPRA: Scaffolding algorithm for paired reads via statistical optimization
Background: High throughput sequencing (HTS) platforms produce gigabases of short read (<100 bp) data per run. While these short reads are adequate for resequencing application...
Adel Dayarian, Todd P. Michael, Anirvan M. Sengupt...
ICDM
2010
IEEE
146views Data Mining» more  ICDM 2010»
13 years 6 months ago
One-Class Matrix Completion with Low-Density Factorizations
Consider a typical recommendation problem. A company has historical records of products sold to a large customer base. These records may be compactly represented as a sparse custom...
Vikas Sindhwani, Serhat Selcuk Bucak, Jianying Hu,...
WSDM
2012
ACM
283views Data Mining» more  WSDM 2012»
12 years 4 months ago
The life and death of online groups: predicting group growth and longevity
We pose a fundamental question in understanding how to identify and design successful communities: What factors predict whether a community will grow and survive in the long term?...
Sanjay Ram Kairam, Dan J. Wang, Jure Leskovec