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» Kernels for Semi-Structured Data
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107
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CVPR
2006
IEEE
16 years 2 months ago
Acceleration Strategies for Gaussian Mean-Shift Image Segmentation
Gaussian mean-shift (GMS) is a clustering algorithm that has been shown to produce good image segmentations (where each pixel is represented as a feature vector with spatial and r...
Miguel Á. Carreira-Perpiñán
ICML
2008
IEEE
16 years 1 months ago
SVM optimization: inverse dependence on training set size
We discuss how the runtime of SVM optimization should decrease as the size of the training data increases. We present theoretical and empirical results demonstrating how a simple ...
Shai Shalev-Shwartz, Nathan Srebro
HPCC
2007
Springer
15 years 7 months ago
Continuous Adaptive Outlier Detection on Distributed Data Streams
In many applications, stream data are too voluminous to be collected in a central fashion and often transmitted on a distributed network. In this paper, we focus on the outlier det...
Liang Su, Weihong Han, Shuqiang Yang, Peng Zou, Ya...
81
Voted
IFL
2005
Springer
103views Formal Methods» more  IFL 2005»
15 years 6 months ago
The Implementation of iData
The iData Toolkit is a toolkit that allows programmers to create interactive, type-safe, dynamic web applications with state on a high level of abstraction. The key element of this...
Rinus Plasmeijer, Peter Achten
ICDE
2002
IEEE
91views Database» more  ICDE 2002»
15 years 5 months ago
Lossy Reduction for Very High Dimensional Data
We consider the use of data reduction techniques for the problem of approximate query answering. We focus on applications for which accurate answers to selective queries are requi...
Chris Jermaine, Edward Omiecinski