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120
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BMCBI
2004
208views more  BMCBI 2004»
15 years 17 days ago
Using 3D Hidden Markov Models that explicitly represent spatial coordinates to model and compare protein structures
Background: Hidden Markov Models (HMMs) have proven very useful in computational biology for such applications as sequence pattern matching, gene-finding, and structure prediction...
Vadim Alexandrov, Mark Gerstein
93
Voted
SKG
2006
IEEE
15 years 6 months ago
A Grid Service for Pattern Extraction from Mass Spectrometry Data
The paper presents a Grid Service allowing to detect and extract the longest common sub-spectrum among a set of mass spectrometry spectra data. The service is based on a novel pat...
Mario Cannataro, Pierangelo Veltri
CORR
2006
Springer
99views Education» more  CORR 2006»
15 years 22 days ago
PAC Learning Mixtures of Axis-Aligned Gaussians with No Separation Assumption
Abstract. We propose and analyze a new vantage point for the learning of mixtures of Gaussians: namely, the PAC-style model of learning probability distributions introduced by Kear...
Jon Feldman, Ryan O'Donnell, Rocco A. Servedio
CVIU
2010
198views more  CVIU 2010»
15 years 24 days ago
Non-Gaussian model-based fusion of noisy images in the wavelet domain
This paper describes a new methodology for multimodal image fusion based on non-Gaussian statistical modelling of wavelet coefficients. Special emphasis is placed on the fusion of...
Artur Loza, David R. Bull, Nishan Canagarajah, Ali...
98
Voted
EVOW
2010
Springer
15 years 7 months ago
Gaussian Adaptation Revisited - An Entropic View on Covariance Matrix Adaptation
Abstract. We revisit Gaussian Adaptation (GaA), a black-box optimizer for discrete and continuous problems that has been developed in the late 1960’s. This largely neglected sear...
Christian L. Müller, Ivo F. Sbalzarini