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» Segmentation Fusion for Connectomics
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ICASSP
2011
IEEE
13 years 1 months 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
ICIP
2009
IEEE
14 years 11 months ago
Combining Multimodal And Temporal Contextual Information For Semantic Video Analysis
In this paper, a graphical modeling-based approach to semantic video analysis is presented for jointly realizing modality fusion and temporal context exploitation. Overall, the ex...
ICMCS
2005
IEEE
173views Multimedia» more  ICMCS 2005»
14 years 3 months ago
A Multi-Modal Mixed-State Dynamic Bayesian Network for Robust Meeting Event Recognition from Disturbed Data
In this work we present a novel multi-modal mixed-state dynamic Bayesian network (DBN) for robust meeting event classification. The model uses information from lapel microphones,...
Marc Al-Hames, Gerhard Rigoll
CSL
2010
Springer
13 years 10 months ago
Speech segmentation using regression fusion of boundary predictions
In the present work we study the appropriateness of a number of linear and non-linear regression methods, employed on the task of speech segmentation, for combining multiple phone...
Iosif Mporas, Todor Ganchev, Nikos Fakotakis
PR
2002
94views more  PR 2002»
13 years 9 months ago
Segmentation of touching and fused Devanagari characters
Devanagari script is a two dimensional composition of symbols. It is highly cumbersome to treat each composite character as a separate atomic symbol because such combinations are v...
Veena Bansal, R. M. K. Sinha