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» Multimodal Segmentation of Lifelog Data
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INCDM
2007
Springer
69views Data Mining» more  INCDM 2007»
13 years 11 months ago
Simultaneous Co-clustering and Modeling of Market Data
For difficult prediction problems, practitioners often segment the data into relatively homogenous groups and then build a model for each group. This two-step procedure usually res...
Meghana Deodhar, Joydeep Ghosh
IROS
2006
IEEE
274views Robotics» more  IROS 2006»
13 years 11 months ago
Adaptive Scale Robust Segmentation for 2D Laser Scanner
Abstract— This paper presents a robust algorithm for segmentation and line detection in 2D range scans. The described method exploits the multimodal probability density function ...
Ruben Martinez-Cantin, José A. Castellanos,...
ISM
2005
IEEE
91views Multimedia» more  ISM 2005»
13 years 11 months ago
Unit Detection from American Football TV Broadcast using Multimodal Content Analysis
In this paper, a multimodal unit detection framework to detect and extract units, a novel concept towards event detection and extraction in sports TV broadcasts, is proposed. The ...
Guy Ravitz, Mei-Ling Shyu
VMV
2008
168views Visualization» more  VMV 2008»
13 years 6 months ago
Integrating robust likelihoods with Monte-Carlo filters for multi-target tracking
In this paper, a dynamic multi-modal fusion scheme for tracking multiple targets with Monte-Carlo filters is presented, with the goal of achieving robustness by combining complime...
Giorgio Panin, Thorsten Röder, Alois Knoll
ICPR
2006
IEEE
14 years 6 months ago
Adaptive Feature Integration for Segmentation of 3D Data by Unsupervised Density Estimation
In this paper, a novel unsupervised approach for the segmentation of unorganized 3D points sets is proposed. The method derives by the mean shift clustering paradigm devoted to se...
Marco Cristani, Umberto Castellani, Vittorio Murin...