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136
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ICML
2009
IEEE
15 years 10 months ago
Grammatical inference as a principal component analysis problem
One of the main problems in probabilistic grammatical inference consists in inferring a stochastic language, i.e. a probability distribution, in some class of probabilistic models...
Raphaël Bailly, François Denis, Liva R...
GLOBECOM
2009
IEEE
15 years 10 months ago
Data Acquisition through Joint Compressive Sensing and Principal Component Analysis
—In this paper we look at the problem of accurately reconstructing distributed signals through the collection of a small number of samples at a data gathering point. The techniqu...
Riccardo Masiero, Giorgio Quer, Daniele Munaretto,...
141
Voted
ISBI
2011
IEEE
14 years 7 months ago
Principal components regression: Multivariate, gene-based tests in imaging genomics
In imaging genomics, there have been rapid advances in genome-wide, image-wide searches for genes that influence brain structure. Most efforts focus on univariate tests that treat...
Derrek P. Hibar, Jason L. Stein, Omid Kohannim, Ne...
122
Voted
ICDAR
2003
IEEE
15 years 8 months ago
String Extraction From Color Airline Coupon Image Using Statistical Approach
A novel technique is presented in this paper to extract strings in color images of both Business Settlement Plan (BSP) and non-BSP airline coupon. The essential concept is to remo...
Yi Li, Zhiyan Wang, Haizan Zeng
131
Voted
ECCV
2010
Springer
15 years 7 months ago
Manifold Valued Statistics, Exact Principal Geodesic Analysis and the Effect of Linear Approximations
Manifolds are widely used to model non-linearity arising in a range of computer vision applications. This paper treats statistics on manifolds and the loss of accuracy occurring wh...