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» Modeling Signs Using Functional Data Analysis
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237
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KDD
2006
ACM
115views Data Mining» more  KDD 2006»
16 years 7 months ago
Supervised probabilistic principal component analysis
Principal component analysis (PCA) has been extensively applied in data mining, pattern recognition and information retrieval for unsupervised dimensionality reduction. When label...
Shipeng Yu, Kai Yu, Volker Tresp, Hans-Peter Krieg...
199
Voted
ICDM
2005
IEEE
133views Data Mining» more  ICDM 2005»
16 years 1 months ago
Summarization - Compressing Data into an Informative Representation
In this paper, we formulate the problem of summarization of a dataset of transactions with categorical attributes as an optimization problem involving two objective functions - co...
Varun Chandola, Vipin Kumar
P2P
2009
IEEE
115views Communications» more  P2P 2009»
16 years 2 months ago
Modeling and Analysis of Bandwidth-Inhomogeneous Swarms in BitTorrent
—A number of analytical models exists that capture various properties of the BitTorrent protocol. However, until now virtually all of these models have been based on the assumpti...
Michel Meulpolder, Johan A. Pouwelse, Dick H. J. E...
TKDE
2008
152views more  TKDE 2008»
15 years 7 months ago
SRDA: An Efficient Algorithm for Large-Scale Discriminant Analysis
Linear Discriminant Analysis (LDA) has been a popular method for extracting features that preserves class separability. The projection functions of LDA are commonly obtained by max...
Deng Cai, Xiaofei He, Jiawei Han
217
Voted
ICDE
2007
IEEE
176views Database» more  ICDE 2007»
16 years 1 months ago
Finding Important People in Large News Video Databases Using Multimodal and Clustering Analysis
The wide availability of large scale databases requires more efficient and scalable tools for data understanding and knowledge discovery. In this paper, we present a method to ...
Duy-Dinh Le, Shin'ichi Satoh, Michael E. Houle, Da...