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» Improved Segmentation Based on Probabilistic Labeling
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ICASSP
2011
IEEE
13 years 5 days ago
An adaptive bayesian clustering and multivariate region merging based technique for efficient segmentation of color images
We propose a methodology for improved segmentation of images in a Bayesian framework by fusion of color, texture and gradient information. The proposed algorithm is initialized by...
Sreenath Rao Vantaram, Eli Saber
ICPR
2000
IEEE
14 years 9 months ago
Embedded Formulas Extraction
A new approach for separating mathematics from usual text is presented. Contrary to the existing methods, it is more oriented toward the segmentation than the recognition, isolati...
Abdel Belaïd, Afef Kacem, Mohamed Ben Ahmed
ML
2000
ACM
124views Machine Learning» more  ML 2000»
13 years 8 months ago
Text Classification from Labeled and Unlabeled Documents using EM
This paper shows that the accuracy of learned text classifiers can be improved by augmenting a small number of labeled training documents with a large pool of unlabeled documents. ...
Kamal Nigam, Andrew McCallum, Sebastian Thrun, Tom...
MICAI
2010
Springer
13 years 6 months ago
Automatic Image Annotation Using Multiple Grid Segmentation
Abstract. Automatic image annotation refers to the process of automatically labeling an image with a predefined set of keywords. Image annotation is an important step of content-ba...
Gerardo Arellano, Luis Enrique Sucar, Eduardo F. M...
ACCV
2009
Springer
14 years 3 months ago
Iterated Graph Cuts for Image Segmentation
Graph cuts based interactive segmentation has become very popular over the last decade. In standard graph cuts, the extraction of foreground object in a complex background often le...
Bo Peng, Lei Zhang, Jian Yang