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ICPR
2008
IEEE
16 years 17 days ago
Manifold denoising with Gaussian Process Latent Variable Models
For a finite set of points lying on a lower dimensional manifold embedded in a high-dimensional data space, algorithms have been developed to study the manifold structure. Howeve...
Yan Gao, Kap Luk Chan, Wei-Yun Yau
ICPR
2008
IEEE
16 years 17 days ago
Tracking human body by using particle filter Gaussian process Markov-switching model
The goal of this article is to present an effective and robust tracking algorithm for nonlinear feet motion by deploying particle filter integrated with Gaussian process latent v...
Jing Wang, Hong Man, Yafeng Yin
IROS
2007
IEEE
95views Robotics» more  IROS 2007»
16 years 13 days ago
Modeling affordances using Bayesian networks
— Affordances represent the behavior of objects in terms of the robot’s motor and perceptual skills. This type of knowledge plays a crucial role in developmental robotic system...
Luis Montesano, Manuel Lopes, Alexandre Bernardino...
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ICTAI
2006
IEEE
16 years 5 days ago
Hierarchical Language Models for Expert Finding in Enterprise Corpora
Enterprise corpora contain evidence of what employees work on and therefore can be used to automatically find experts on a given topic. We present a general approach for represen...
Desislava Petkova, W. Bruce Croft
AVSS
2005
IEEE
15 years 11 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