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DASFAA
2010
IEEE
224views Database» more  DASFAA 2010»
14 years 28 days ago
Dynamic Skyline Queries in Large Graphs
Given a set of query points, a dynamic skyline query reports all data points that are not dominated by other data points according to the distances between data points and query po...
Lei Zou, Lei Chen 0002, M. Tamer Özsu, Dongya...
NECO
2008
112views more  NECO 2008»
13 years 7 months ago
Second-Order SMO Improves SVM Online and Active Learning
Iterative learning algorithms that approximate the solution of support vector machines (SVMs) have two potential advantages. First, they allow for online and active learning. Seco...
Tobias Glasmachers, Christian Igel
ICPPW
2006
IEEE
14 years 1 months ago
Multidimensional Dataflow-based Parallelization for Multimedia Instruction Set Extensions
In retargeting loop-based code for multimedia instruction set extensions, a critical issue is that vector data types of mixed precision within a loop body complicate the paralleli...
Lewis B. Baumstark Jr., Linda M. Wills
JMLR
2006
148views more  JMLR 2006»
13 years 7 months ago
Computational and Theoretical Analysis of Null Space and Orthogonal Linear Discriminant Analysis
Dimensionality reduction is an important pre-processing step in many applications. Linear discriminant analysis (LDA) is a classical statistical approach for supervised dimensiona...
Jieping Ye, Tao Xiong
JMLR
2006
89views more  JMLR 2006»
13 years 7 months ago
Maximum-Gain Working Set Selection for SVMs
Support vector machines are trained by solving constrained quadratic optimization problems. This is usually done with an iterative decomposition algorithm operating on a small wor...
Tobias Glasmachers, Christian Igel