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CEC
2011
IEEE
12 years 7 months ago
Stochastic Natural Gradient Descent by estimation of empirical covariances
—Stochastic relaxation aims at finding the minimum of a fitness function by identifying a proper sequence of distributions, in a given model, that minimize the expected value o...
Luigi Malagò, Matteo Matteucci, Giovanni Pi...
IVC
1998
65views more  IVC 1998»
13 years 7 months ago
Segmentation of MR images with intensity inhomogeneities
A statistical model to segment clinical magnetic resonance (MR) images in the presence of noise and intensity inhomogeneities is proposed. Inhomogeneities are considered to be mul...
Jagath C. Rajapakse, Frithjof Kruggel
ICIP
2006
IEEE
14 years 9 months ago
Unsupervised Simultaneous Registration and Exposure Correction
Early approaches to building mosaics by composing photographic images, assume the input images have similar exposures. Since this is unlikely to happen in practice, it became comm...
Pedro M. Q. Aguiar
BMCBI
2006
103views more  BMCBI 2006»
13 years 7 months ago
Statistical inference of chromosomal homology based on gene colinearity and applications to Arabidopsis and rice
Background: The identification of chromosomal homology will shed light on such mysteries of genome evolution as DNA duplication, rearrangement and loss. Several approaches have be...
Xiyin Wang, Xiaoli Shi, Zhe Li, Qihui Zhu, Lei Kon...
KDD
2006
ACM
163views Data Mining» more  KDD 2006»
14 years 8 months ago
New EM derived from Kullback-Leibler divergence
We introduce a new EM framework in which it is possible not only to optimize the model parameters but also the number of model components. A key feature of our approach is that we...
Longin Jan Latecki, Marc Sobel, Rolf Lakämper