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ICASSP
2011
IEEE
12 years 11 months ago
A reversible jump MCMC algorithm for Bayesian curve fitting by using smooth transition regression models
This paper proposes a Bayesian algorithm to estimate the parameters of a smooth transition regression model. With in this model, time series are divided into segments and a linear...
Matthieu Sanquer, Florent Chatelain, Mabrouka El-G...
MICCAI
2004
Springer
14 years 8 months ago
Topology Smoothing for Segmentation and Surface Reconstruction
Abstract. We propose a new method for removing topological defects in surfaces and volumes segmented from medical images. Unlike current topology correction approaches, we define a...
Pierre-Louis Bazin, Dzung L. Pham
ICMCS
2006
IEEE
226views Multimedia» more  ICMCS 2006»
14 years 1 months ago
Detection of LSB Steganography based on Image Smoothness
The detection of LSB steganography is a question of common interest in the research of steganalysis techniques. In this paper, the distribution of the difference between the curre...
Tao Zhang, Yan Zhang, Xijian Ping, Mingwu Song
SMI
2006
IEEE
147views Image Analysis» more  SMI 2006»
14 years 1 months ago
Smoothing by Example: Mesh Denoising by Averaging with Similarity-Based Weights
In this paper, we propose a new and powerful shape denoising technique for processing surfaces approximated by triangle meshes and soups. Our approach is inspired by recent non-lo...
Shin Yoshizawa, Alexander G. Belyaev, Hans-Peter S...
IR
2010
13 years 6 months ago
Gradient descent optimization of smoothed information retrieval metrics
Abstract Most ranking algorithms are based on the optimization of some loss functions, such as the pairwise loss. However, these loss functions are often different from the criter...
Olivier Chapelle, Mingrui Wu