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STOC
2010
ACM
185views Algorithms» more  STOC 2010»
15 years 10 months ago
Measuring independence of datasets
Approximating pairwise, or k-wise, independence with sublinear memory is of considerable importance in the data stream model. In the streaming model the joint distribution is give...
Vladimir Braverman, Rafail Ostrovsky
NIPS
2008
15 years 7 months ago
Scalable Algorithms for String Kernels with Inexact Matching
We present a new family of linear time algorithms based on sufficient statistics for string comparison with mismatches under the string kernels framework. Our algorithms improve t...
Pavel P. Kuksa, Pai-Hsi Huang, Vladimir Pavlovic
ALT
2001
Springer
16 years 3 months ago
Inventing Discovery Tools: Combining Information Visualization with Data Mining
The growing use of information visualization tools and data mining algorithms stems from two separate lines of research. Information visualization researchers believe in the impor...
Ben Shneiderman
196
Voted
JMLR
2006
206views more  JMLR 2006»
15 years 6 months ago
New Algorithms for Efficient High-Dimensional Nonparametric Classification
This paper is about non-approximate acceleration of high-dimensional nonparametric operations such as k nearest neighbor classifiers. We attempt to exploit the fact that even if w...
Ting Liu, Andrew W. Moore, Alexander G. Gray
146
Voted
ISAAC
2005
Springer
100views Algorithms» more  ISAAC 2005»
15 years 12 months ago
Separability with Outliers
We develop exact and approximate algorithms for computing optimal separators and measuring the extent to which two point sets in d-dimensional space are separated, with respect to...
Sariel Har-Peled, Vladlen Koltun