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CAIP
2001
Springer
293views Image Analysis» more  CAIP 2001»
15 years 8 months ago
A Markov Random Field Image Segmentation Model Using Combined Color and Texture Features
In this paper, we propose a Markov random field (MRF) image segmentation model which aims at combining color and texture features. The theoretical framework relies on Bayesian est...
Zoltan Kato, Ting-Chuen Pong
FCCM
2009
IEEE
134views VLSI» more  FCCM 2009»
15 years 8 months ago
Efficient Mapping of Hardware Tasks on Reconfigurable Computers Using Libraries of Architecture Variants
Scheduling and partitioning of task graphs on reconfigurable hardware needs to be carefully carried out in order to achieve the best possible performance. In this paper, we demons...
Miaoqing Huang, Vikram K. Narayana, Tarek A. El-Gh...
JRTIP
2007
109views more  JRTIP 2007»
15 years 4 months ago
Robust GPU-assisted camera tracking using free-form surface models
We propose a marker-less model-based camera tracking approach, which makes use of GPU-assisted analysis-by-synthesis methods on a very wide field of view (e.g. fish-eye) camera. ...
Kevin Köser, Bogumil Bartczak, Reinhard Koch
ICIP
2006
IEEE
16 years 6 months ago
Joint Dimensionality Reduction, Classification and Segmentation of Hyperspectral Images
Dimensionality reduction, spectral classification and segmentation are the three main problems in hyperspectral image analysis. In this paper we propose a Bayesian estimation appr...
Nadia Bali, Ali Mohammad-Djafari, Adel Mohammadpou...
NIPS
2001
15 years 5 months ago
Sequential Noise Compensation by Sequential Monte Carlo Method
We present a sequential Monte Carlo method applied to additive noise compensation for robust speech recognition in time-varying noise. The method generates a set of samples accord...
K. Yao, S. Nakamura