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» A Statistical Learning Approach To Document Image Analysis
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DAGM
2003
Springer
15 years 5 months ago
Training and Recognition of Complex Scenes Using a Holistic Statistical Model
We present a holistic statistical model for the automatic analysis of complex scenes. Here, holistic refers to an integrated approach that does not take local decisions about segme...
Daniel Keysers, Michael Motter, Thomas Deselaers, ...
COLT
2008
Springer
15 years 1 months ago
Learning Coordinate Gradients with Multi-Task Kernels
Coordinate gradient learning is motivated by the problem of variable selection and determining variable covariation. In this paper we propose a novel unifying framework for coordi...
Yiming Ying, Colin Campbell
SADFE
2009
IEEE
15 years 6 months ago
File Fragment Classification-The Case for Specialized Approaches
Increasingly advances in file carving, memory analysis and network forensics requires the ability to identify the underlying type of a file given only a file fragment. Work to dat...
Vassil Roussev, Simson L. Garfinkel
ICML
2010
IEEE
15 years 2 days ago
A DC Programming Approach for Sparse Eigenvalue Problem
We investigate the sparse eigenvalue problem which arises in various fields such as machine learning and statistics. Unlike standard approaches relying on approximation of the l0n...
Mamadou Thiao, Pham Dinh Tao, Le Thi Hoai An
ICDAR
2009
IEEE
14 years 9 months ago
Pre-Processing of Degraded Printed Documents by Non-local Means and Total Variation
We compare in this study two image restoration approaches for the pre-processing of printed documents: namely the Non-local Means filter and a total variation minimization approac...
Laurence Likforman-Sulem, Jérôme Darb...