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» Unsupervised Analysis of Human Gestures
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MM
2006
ACM
130views Multimedia» more  MM 2006»
15 years 7 months ago
An unsupervised method for clustering images based on their salient regions of interest
We have developed a biologically-motivated, unsupervised way of grouping together images whose salient regions of interest (ROIs) are perceptually similar regardless of the visual...
Gustavo B. Borba, Humberto R. Gamba, Oge Marques, ...
ICPR
2006
IEEE
15 years 7 months ago
HMM-based Human Action Recognition Using Multiview Image Sequences
In this paper, we present a novel method for human action recognition from any arbitrary view image sequence that uses the Cartesian component of optical flow velocity and human ...
Mohiuddin Ahmad, Seong-Whan Lee
ISWC
2003
IEEE
15 years 7 months ago
Unsupervised, Dynamic Identification of Physiological and Activity Context in Wearable Computing
Context-aware computing describes the situation where a wearable / mobile computer is aware of its user’s state and surroundings and modifies its behavior based on this informat...
Andreas Krause, Daniel P. Siewiorek, Asim Smailagi...
ICIP
2006
IEEE
16 years 3 months ago
Unsupervised Image Layout Extraction
We propose a novel unsupervised learning algorithm to extract the layout of an image by learning latent object-related aspects. Unlike traditional image segmentation algorithms th...
David Liu, Datong Chen, Tsuhan Chen
ICCV
2003
IEEE
15 years 7 months ago
The Catchment Feature Model for Multimodal Language Analysis
The Catchment Feature Model (CFM) addresses two questions in multimodal interaction: how do we bridge video and audio processing with the realities of human multimodal communicati...
Francis K. H. Quek