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CORR
2010
Springer
103views Education» more  CORR 2010»
15 years 6 months ago
Robust Matrix Decomposition with Outliers
Suppose a given observation matrix can be decomposed as the sum of a low-rank matrix and a sparse matrix (outliers), and the goal is to recover these individual components from th...
Daniel Hsu, Sham M. Kakade, Tong Zhang
CSDA
2008
80views more  CSDA 2008»
15 years 6 months ago
Variational Bayesian functional PCA
A Bayesian approach to analyze the modes of variation in a set of curves is suggested. It is based on a generative model thus allowing for noisy and sparse observations of curves....
Angelika van der Linde
JCT
2008
65views more  JCT 2008»
15 years 6 months ago
Random graphs on surfaces
Counting labelled planar graphs, and typical properties of random labelled planar graphs, have received much attention recently. We start the process here of extending these invest...
Colin McDiarmid
JEC
2006
73views more  JEC 2006»
15 years 6 months ago
Frame packing algorithms for automotive applications
The set of frames exchanged in automotive applications must meet two constraints: it has to be feasible from a schedulability point of view and it should minimize the network bandw...
Rishi Saket, Nicolas Navet
JMM2
2006
110views more  JMM2 2006»
15 years 6 months ago
Two-Stage PCA Extracts Spatiotemporal Features for Gait Recognition
We propose a technique for gait recognition from motion capture data based on two successive stages of principal component analysis (PCA) on kinematic data. The first stage of PCA ...
Sandhitsu R. Das, Robert C. Wilson, Maciej T. Laza...