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» Maximal Vector Computation in Large Data Sets
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ICPR
2006
IEEE
14 years 10 months ago
Hybrid Kernel Machine Ensemble for Imbalanced Data Sets
A two-class imbalanced data problem (IDP) emerges when the data from majority class are compactly clustered and the data from minority class are scattered. Though a discriminative...
Kap Luk Chan, Peng Li, Wen Fang
CVPR
2006
IEEE
14 years 22 days ago
Region-based Image Annotation using Asymmetrical Support Vector Machine-based Multiple-Instance Learning
In region-based image annotation, keywords are usually associated with images instead of individual regions in the training data set. This poses a major challenge for any learning...
Changbo Yang, Ming Dong, Jing Hua
DAM
2008
83views more  DAM 2008»
13 years 9 months ago
Multi-group support vector machines with measurement costs: A biobjective approach
Support Vector Machine has shown to have good performance in many practical classification settings. In this paper we propose, for multi-group classification, a biobjective optimi...
Emilio Carrizosa, Belen Martin-Barragan, Dolores R...
VLDB
2002
ACM
154views Database» more  VLDB 2002»
13 years 8 months ago
I/O-Conscious Data Preparation for Large-Scale Web Search Engines
Given that commercial search engines cover billions of web pages, efficiently managing the corresponding volumes of disk-resident data needed to answer user queries quickly is a f...
Maxim Lifantsev, Tzi-cker Chiueh
DEXAW
2010
IEEE
204views Database» more  DEXAW 2010»
13 years 10 months ago
Scalable Recursive Top-Down Hierarchical Clustering Approach with Implicit Model Selection for Textual Data Sets
Automatic generation of taxonomies can be useful for a wide area of applications. In our application scenario a topical hierarchy should be constructed reasonably fast from a large...
Markus Muhr, Vedran Sabol, Michael Granitzer