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» Maximal Vector Computation in Large Data Sets
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VL
1996
IEEE
157views Visual Languages» more  VL 1996»
13 years 12 months ago
Visualizing Program Executions on Large Data Sets
Understanding and interpreting a large data source is an important but challenging operation in many technical disciplines. Computer visualization has become a valuable tool to he...
John T. Stasko, Jeyakumar Muthukumarasamy
ICDM
2007
IEEE
137views Data Mining» more  ICDM 2007»
14 years 2 months ago
Locally Constrained Support Vector Clustering
Support vector clustering transforms the data into a high dimensional feature space, where a decision function is computed. In the original space, the function outlines the bounda...
Dragomir Yankov, Eamonn J. Keogh, Kin Fai Kan
ICPP
2008
IEEE
14 years 2 months ago
Improving the Performance of Multithreaded Sparse Matrix-Vector Multiplication Using Index and Value Compression
Abstract—The Sparse Matrix-Vector Multiplication kernel exhibits limited potential for taking advantage of modern shared memory architectures due to its large memory bandwidth re...
Kornilios Kourtis, Georgios I. Goumas, Nectarios K...
PKDD
2010
Springer
160views Data Mining» more  PKDD 2010»
13 years 6 months ago
Entropy and Margin Maximization for Structured Output Learning
Abstract. We consider the problem of training discriminative structured output predictors, such as conditional random fields (CRFs) and structured support vector machines (SSVMs)....
Patrick Pletscher, Cheng Soon Ong, Joachim M. Buhm...
NIPS
2001
13 years 9 months ago
Kernel Logistic Regression and the Import Vector Machine
The support vector machine (SVM) is known for its good performance in binary classification, but its extension to multi-class classification is still an on-going research issue. I...
Ji Zhu, Trevor Hastie