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» Discriminative Random Fields
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148
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IROS
2007
IEEE
162views Robotics» more  IROS 2007»
15 years 10 months ago
Genetic MRF model optimization for real-time victim detection in search and rescue
— One primary goal in rescue robotics is to deploy a team of robots for coordinated victim search after a disaster. This requires robots to perform subtasks, such as victim detec...
Alexander Kleiner, Rainer Kümmerle
127
Voted
ISCAS
2007
IEEE
106views Hardware» more  ISCAS 2007»
15 years 10 months ago
Ensemble Dependent Matrix Methodology for Probabilistic-Based Fault-tolerant Nanoscale Circuit Design
—Two probabilistic-based models, namely the Ensemble-Dependent Matrix model [1][3] and the Markov Random Field model [2], have been proposed to deal with faults in nanoscale syst...
Huifei Rao, Jie Chen, Changhong Yu, Woon Tiong Ang...
118
Voted
GECCO
2007
Springer
155views Optimization» more  GECCO 2007»
15 years 9 months ago
Solving the MAXSAT problem using a multivariate EDA based on Markov networks
Markov Networks (also known as Markov Random Fields) have been proposed as a new approach to probabilistic modelling in Estimation of Distribution Algorithms (EDAs). An EDA employ...
Alexander E. I. Brownlee, John A. W. McCall, Deryc...
126
Voted
IBPRIA
2007
Springer
15 years 9 months ago
Bayesian Oil Spill Segmentation of SAR Images Via Graph Cuts
Abstract. This paper extends and generalizes the Bayesian semisupervised segmentation algorithm [1] for oil spill detection using SAR images. In the base algorithm on which we buil...
Sónia Pelizzari, José M. Bioucas-Dia...
109
Voted
PKDD
2007
Springer
91views Data Mining» more  PKDD 2007»
15 years 9 months ago
Domain Adaptation of Conditional Probability Models Via Feature Subsetting
The goal in domain adaptation is to train a model using labeled data sampled from a domain different from the target domain on which the model will be deployed. We exploit unlabel...
Sandeepkumar Satpal, Sunita Sarawagi