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SEMWEB
2007
Springer
14 years 3 months ago
Approximate Measures of Semantic Dissimilarity under Uncertainty
Abstract. We propose semantic distance measures based on the criterion of approximate discernibility and on evidence combination. In the presence of incomplete knowledge, the dista...
Nicola Fanizzi, Claudia d'Amato, Floriana Esposito
SCALESPACE
1999
Springer
14 years 2 months ago
A Geometric Functional for Derivatives Approximation
We develop on estimation method, for the derivative field of an image based on Bayesian approach which is formulated in a geometric way. The Maximum probability configuration of ...
Nir A. Sochen, Robert M. Haralick, Yehoshua Y. Zee...
TIP
2008
169views more  TIP 2008»
13 years 9 months ago
Maximum Likelihood Wavelet Density Estimation With Applications to Image and Shape Matching
Density estimation for observational data plays an integral role in a broad spectrum of applications, e.g. statistical data analysis and information-theoretic image registration. ...
Adrian M. Peter, Anand Rangarajan
CIVR
2007
Springer
160views Image Analysis» more  CIVR 2007»
14 years 4 months ago
Automatic image annotation by an iterative approach: incorporating keyword correlations and region matching
Automatic image annotation automatically labels image content with semantic keywords. For instance, the Relevance Model estimates the joint probability of the keyword and the imag...
Xiangdong Zhou, Mei Wang, Qi Zhang, Junqi Zhang, B...
JMLR
2006
143views more  JMLR 2006»
13 years 9 months ago
Geometric Variance Reduction in Markov Chains: Application to Value Function and Gradient Estimation
We study a sequential variance reduction technique for Monte Carlo estimation of functionals in Markov Chains. The method is based on designing sequential control variates using s...
Rémi Munos