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ICMCS
2006
IEEE
124views Multimedia» more  ICMCS 2006»
15 years 8 months ago
Content-Free Image Retrieval using Bayesian Product Rule
Content-free image retrieval uses accumulated user feedback records to retrieve images without analyzing image pixels. We present a Bayesian-based algorithm to analyze user feedba...
David Liu, Tsuhan Chen
122
Voted
ICIP
2006
IEEE
16 years 4 months ago
Image Segmentation Model using Active Contour and Image Decomposition
This paper proposes an image segmentation model based on the active contour model, the Mumford-Shah functional and the image decomposition process. Generally speaking, the active ...
Xavier Bresson, Jean-Philippe Thiran
143
Voted
JMLR
2012
13 years 5 months ago
Adaptive MCMC with Bayesian Optimization
This paper proposes a new randomized strategy for adaptive MCMC using Bayesian optimization. This approach applies to nondifferentiable objective functions and trades off explor...
Nimalan Mahendran, Ziyu Wang, Firas Hamze, Nando d...
104
Voted
ICASSP
2009
IEEE
15 years 9 months ago
Bayesian sparse image reconstruction for MRFM
In this paper, we propose a Bayesian model and a Monte Carlo Markov chain (MCMC) algorithm for reconstructing images that consist of only few non-zero pixels. An appropriate distr...
Nicolas Dobigeon, Alfred O. Hero, Jean-Yves Tourne...
128
Voted
MICCAI
2010
Springer
15 years 1 months ago
Sparse Bayesian Learning for Identifying Imaging Biomarkers in AD Prediction
Abstract. We apply sparse Bayesian learning methods, automatic relevance determination (ARD) and predictive ARD (PARD), to Alzheimer’s disease (AD) classification to make accura...
Li Shen, Yuan Qi, Sungeun Kim, Kwangsik Nho, Jing ...