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BMCBI
2004
208views more  BMCBI 2004»
15 years 6 months 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
SKG
2006
IEEE
16 years 3 days 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
163
Voted
CORR
2006
Springer
99views Education» more  CORR 2006»
15 years 6 months 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 6 months 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...
EVOW
2010
Springer
16 years 28 days 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