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» Segmentation Fusion for Connectomics
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ICASSP
2011
IEEE
14 years 7 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
147
Voted
ICIP
2009
IEEE
16 years 5 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»
15 years 9 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
15 years 4 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»
15 years 3 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