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» Similarity measures for multidimensional data
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176
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IJDMB
2008
132views more  IJDMB 2008»
15 years 3 months ago
A Bayesian framework for knowledge driven regression model in micro-array data analysis
: This paper addresses the sparse data problem in the linear regression model, namely the number of variables is significantly larger than the number of the data points for regress...
Rong Jin, Luo Si, Christina Chan
137
Voted
ICPR
2010
IEEE
15 years 9 months ago
Motif Discovery and Feature Selection for CRF-Based Activity Recognition
Abstract—Due to their ability to model sequential data without making unnecessary independence assumptions, conditional random fields (CRFs) have become an increasingly popular ...
Liyue Zhao, Xi Wang, Gita Sukthankar
145
Voted
WD
2010
15 years 1 months ago
QoE estimation of a location-based mobile game using on-body sensors and QoS-related data
The scope of this paper is the interdisciplinary measurement and modeling methodology of Quality of Experience (QoE) when playing a mobile location-based massively multiplayer onli...
Adrian Juan Verdejo, Katrien De Moor, Istvan Ketyk...
PODS
1997
ACM
117views Database» more  PODS 1997»
15 years 8 months ago
On the Analysis of Indexing Schemes
We consider the problem of indexing general database workloads (combinations of data sets and sets of potential queries). We de ne a framework for measuring the eciency of an ind...
Joseph M. Hellerstein, Elias Koutsoupias, Christos...
147
Voted
KDD
2001
ACM
253views Data Mining» more  KDD 2001»
16 years 4 months ago
GESS: a scalable similarity-join algorithm for mining large data sets in high dimensional spaces
The similarity join is an important operation for mining high-dimensional feature spaces. Given two data sets, the similarity join computes all tuples (x, y) that are within a dis...
Jens-Peter Dittrich, Bernhard Seeger