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JMLR
2007
58views more  JMLR 2007»
13 years 7 months ago
Distances between Data Sets Based on Summary Statistics
The concepts of similarity and distance are crucial in data mining. We consider the problem of defining the distance between two data sets by comparing summary statistics compute...
Nikolaj Tatti
IJCAI
2007
13 years 9 months ago
Parametric Kernels for Sequence Data Analysis
A key challenge in applying kernel-based methods for discriminative learning is to identify a suitable kernel given a problem domain. Many methods instead transform the input data...
Young-In Shin, Donald S. Fussell
DCC
2008
IEEE
14 years 7 months ago
Geometric Burrows-Wheeler Transform: Linking Range Searching and Text Indexing
We introduce a new variant of the popular Burrows-Wheeler transform (BWT) called Geometric Burrows-Wheeler Transform (GBWT). Unlike BWT, which merely permutes the text, GBWT conve...
Yu-Feng Chien, Wing-Kai Hon, Rahul Shah, Jeffrey S...
CORR
2011
Springer
175views Education» more  CORR 2011»
13 years 2 months ago
A Novel Probabilistic Pruning Approach to Speed Up Similarity Queries in Uncertain Databases
Abstract— In this paper, we propose a novel, effective and efficient probabilistic pruning criterion for probabilistic similarity queries on uncertain data. Our approach support...
Thomas Bernecker, Tobias Emrich, Hans-Peter Kriege...
ICCV
2009
IEEE
15 years 19 days ago
Weakly supervised discriminative localization and classification: a joint learning process
Visual categorization problems, such as object classification or action recognition, are increasingly often approached using a detection strategy: a classifier function is first ...
Minh Hoai Nguyen, Lorenzo Torresani, Fernando de l...