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» Practical Preference Relations for Large Data Sets
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CIKM
2009
Springer
15 years 2 months ago
Diverging patterns: discovering significant frequency change dissimilarities in large databases
In this paper, we present a framework for mining diverging patterns, a new type of contrast patterns whose frequency changes significantly differently in two data sets, e.g., it c...
Aijun An, Qian Wan, Jiashu Zhao, Xiangji Huang
ADBIS
2003
Springer
204views Database» more  ADBIS 2003»
15 years 8 months ago
Hierarchical Bitmap Index: An Efficient and Scalable Indexing Technique for Set-Valued Attributes
Abstract. Set-valued attributes are convenient to model complex objects occurring in the real world. Currently available database systems support the storage of set-valued attribut...
Mikolaj Morzy, Tadeusz Morzy, Alexandros Nanopoulo...
TASLP
2008
120views more  TASLP 2008»
15 years 4 months ago
Rapid Speaker Adaptation Using Clustered Maximum-Likelihood Linear Basis With Sparse Training Data
Abstract-- Speaker space based adaptation methods for automatic speech recognition have been shown to provide significant performance improvements for tasks where only a few second...
Yun Tang, Richard Rose
BMCBI
2010
175views more  BMCBI 2010»
15 years 5 months ago
Calibur: a tool for clustering large numbers of protein decoys
Background: Ab initio protein structure prediction methods generate numerous structural candidates, which are referred to as decoys. The decoy with the most number of neighbors of...
Shuai Cheng Li, Yen Kaow Ng
JMLR
2010
88views more  JMLR 2010»
14 years 11 months ago
Unsupervised Aggregation for Classification Problems with Large Numbers of Categories
Classification problems with a very large or unbounded set of output categories are common in many areas such as natural language and image processing. In order to improve accurac...
Ivan Titov, Alexandre Klementiev, Kevin Small, Dan...