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IBPRIA
2003
Springer
15 years 9 months ago
Pixel-Based Texture Classification by Integration of Multiple Texture Feature Evaluation Windows
A wide variety of texture feature extraction methods have been proposed for texture based image classification and segmentation. These methods are typically evaluated over windows...
Domènec Puig, Miguel Angel García
141
Voted
SIAMIS
2010
116views more  SIAMIS 2010»
15 years 3 months ago
Higher-Order Feature-Preserving Geometric Regularization
We introduce two fourth-order regularization methods that remove geometric noise without destroying significant geometric features. These methods leverage ideas from image denoisi...
Marc Droske, Andrea Bertozzi
126
Voted
NAACL
2010
15 years 2 months ago
Painless Unsupervised Learning with Features
We show how features can easily be added to standard generative models for unsupervised learning, without requiring complex new training methods. In particular, each component mul...
Taylor Berg-Kirkpatrick, Alexandre Bouchard-C&ocir...
141
Voted
JUCS
2011
97views more  JUCS 2011»
14 years 11 months ago
An OCR Free Method for Word Spotting in Printed Documents: the Evaluation of Different Feature Sets
: An OCR free word spotting method is developed and evaluated under a strong experimental protocol. Different feature sets are evaluated under the same experimental conditions. In ...
Israel Rios, Alceu de Souza Britto Jr., Alessandro...
181
Voted
TSP
2010
14 years 11 months ago
A multi-resolution hidden Markov model using class-specific features
We address the problem in signal classification applications, such as automatic speech recognition (ASR) systems that employ the hidden Markov model (HMM), that it is necessary to...
Paul M. Baggenstoss