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» Modeling Signs Using Functional Data Analysis
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PAMI
2012
13 years 9 months ago
A Least-Squares Framework for Component Analysis
— Over the last century, Component Analysis (CA) methods such as Principal Component Analysis (PCA), Linear Discriminant Analysis (LDA), Canonical Correlation Analysis (CCA), Lap...
Fernando De la Torre
STOC
2010
ACM
199views Algorithms» more  STOC 2010»
15 years 11 months ago
Zero-One Frequency Laws
Data streams emerged as a critical model for multiple applications that handle vast amounts of data. One of the most influential and celebrated papers in streaming is the “AMSâ...
Vladimir Braverman and Rafail Ostrovsky
NECO
2008
134views more  NECO 2008»
15 years 6 months ago
Latent Features in Similarity Judgments: A Nonparametric Bayesian Approach
One of the central problems in cognitive science is determining the mental representations that underlie human inferences. Solutions to this problem often rely on the analysis of ...
Daniel J. Navarro, Thomas L. Griffiths
PPOPP
2005
ACM
16 years 13 days ago
Teleport messaging for distributed stream programs
In this paper, we develop a new language construct to address one of the pitfalls of parallel programming: precise handling of events across parallel components. The construct, te...
William Thies, Michal Karczmarek, Janis Sermulins,...
SPAA
1996
ACM
15 years 11 months ago
From AAPC Algorithms to High Performance Permutation Routing and Sorting
Several recent papers have proposed or analyzed optimal algorithms to route all-to-all personalizedcommunication (AAPC) over communication networks such as meshes, hypercubes and ...
Thomas Stricker, Jonathan C. Hardwick