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» Approximate algorithms for neural-Bayesian approaches
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ICIP
2005
IEEE
15 years 11 months ago
Variational segmentation of color images
A variational Bayesian framework is employed in the paper for image segmentation using color clustering. A Gaussian mixture model is used to represent color distributions. Variati...
Nikolaos Nasios, Adrian G. Bors
PAKDD
2009
ACM
123views Data Mining» more  PAKDD 2009»
15 years 2 months ago
Clustering with Lower Bound on Similarity
We propose a new method, called SimClus, for clustering with lower bound on similarity. Instead of accepting k the number of clusters to find, the alternative similarity-based app...
Mohammad Al Hasan, Saeed Salem, Benjarath Pupacdi,...
AAAI
2010
14 years 11 months ago
Multi-Agent Learning with Policy Prediction
Due to the non-stationary environment, learning in multi-agent systems is a challenging problem. This paper first introduces a new gradient-based learning algorithm, augmenting th...
Chongjie Zhang, Victor R. Lesser
ECCV
2008
Springer
15 years 12 months ago
Shape Matching by Segmentation Averaging
We use segmentations to match images by shape. To address the unreliability of segmentations, we give a closed form approximation to an average over all segmentations. Our techniqu...
Hongzhi Wang, John Oliensis
ICML
2005
IEEE
15 years 10 months ago
Near-optimal sensor placements in Gaussian processes
When monitoring spatial phenomena, which are often modeled as Gaussian Processes (GPs), choosing sensor locations is a fundamental task. A common strategy is to place sensors at t...
Carlos Guestrin, Andreas Krause, Ajit Paul Singh