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TMM
2010
181views Management» more  TMM 2010»
13 years 2 months ago
Mining Group Nonverbal Conversational Patterns Using Probabilistic Topic Models
Abstract--The automatic discovery of group conversational behavior is a relevant problem in social computing. In this paper, we present an approach to address this problem by defin...
Dinesh Babu Jayagopi, Daniel Gatica-Perez
ECCV
2002
Springer
14 years 9 months ago
Probabilistic and Voting Approaches to Cue Integration for Figure-Ground Segmentation
This paper describes techniques for fusing the output of multiple cues to robustly and accurately segment foreground objects from the background in image sequences. Two different m...
Eric Hayman, Jan-Olof Eklundh
ICML
2004
IEEE
14 years 8 months ago
Dynamic conditional random fields: factorized probabilistic models for labeling and segmenting sequence data
In sequence modeling, we often wish to represent complex interaction between labels, such as when performing multiple, cascaded labeling tasks on the same sequence, or when longra...
Charles A. Sutton, Khashayar Rohanimanesh, Andrew ...
AVSS
2005
IEEE
14 years 1 months ago
Scene modelling using an adaptive mixture of Gaussians in colour and space
We present an integrated pixel segmentation and region tracking algorithm, designed for indoor environments. Visual monitoring systems often use frame differencing techniques to i...
Patrick Dickinson, Andrew Hunter
ICIP
2010
IEEE
13 years 5 months ago
Interactive graph cut segmentation of touching neuronal structures from electron micrographs
A novel interactive segmentation framework comprising of a two stage s-t mincut is proposed. The framework has been designed keeping in mind the need to segment touching neuronal ...
Vignesh Jagadeesh, B. S. Manjunath