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» Simultaneous Graphic Generalization of Vector Data Sets
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KDD
2004
ACM
113views Data Mining» more  KDD 2004»
14 years 8 months ago
Learning spatially variant dissimilarity (SVaD) measures
Clustering algorithms typically operate on a feature vector representation of the data and find clusters that are compact with respect to an assumed (dis)similarity measure betwee...
Krishna Kummamuru, Raghu Krishnapuram, Rakesh Agra...
POPL
2003
ACM
14 years 8 months ago
Bitwidth aware global register allocation
Multimedia and network processing applications make extensive use of subword data. Since registers are capable of holding a full data word, when a subword variable is assigned a r...
Sriraman Tallam, Rajiv Gupta
ICML
2009
IEEE
14 years 8 months ago
Learning kernels from indefinite similarities
Similarity measures in many real applications generate indefinite similarity matrices. In this paper, we consider the problem of classification based on such indefinite similariti...
Yihua Chen, Maya R. Gupta, Benjamin Recht
ICML
2004
IEEE
14 years 1 months ago
Gradient LASSO for feature selection
LASSO (Least Absolute Shrinkage and Selection Operator) is a useful tool to achieve the shrinkage and variable selection simultaneously. Since LASSO uses the L1 penalty, the optim...
Yongdai Kim, Jinseog Kim
SDMW
2004
Springer
14 years 1 months ago
Abstracting and Refining Authorization in SQL
ing and Refining Authorization in SQL Arnon Rosenthal, Edward Sciore1 The SQL standard specifies authorization via a large set of rather opaque rules, which are difficult to unders...
Arnon Rosenthal, Edward Sciore