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CORR
2008
Springer
107views Education» more  CORR 2008»
13 years 10 months ago
A Spectral Algorithm for Learning Hidden Markov Models
Hidden Markov Models (HMMs) are one of the most fundamental and widely used statistical tools for modeling discrete time series. In general, learning HMMs from data is computation...
Daniel Hsu, Sham M. Kakade, Tong Zhang
SIAMSC
2008
146views more  SIAMSC 2008»
13 years 10 months ago
A Continuous Interior Penalty Method for Viscoelastic Flows
In this paper we consider a finite element discretization of the Oldroyd-B model of viscoelastic flows. The method uses standard continuous polynomial finite element spaces for vel...
Andrea Bonito, Erik Burman
SIAMSC
2008
237views more  SIAMSC 2008»
13 years 10 months ago
A Variational Shape Optimization Approach for Image Segmentation with a Mumford--Shah Functional
We introduce a novel computational method for a Mumford-Shah functional, which decomposes a given image into smooth regions separated by closed curves. Casting this as a shape opti...
Günay Dogan, Pedro Morin, Ricardo H. Nochetto
CORR
2010
Springer
144views Education» more  CORR 2010»
13 years 9 months ago
CLP-based protein fragment assembly
Abstract. The paper investigates a novel approach, based on Constraint Logic Programming (CLP), to predict the 3D conformation of a protein via fragments assembly. The fragments ar...
Alessandro Dal Palù, Agostino Dovier, Feder...
FS
2010
140views more  FS 2010»
13 years 8 months ago
Nonparametric estimation for a stochastic volatility model
Abstract Consider discrete time observations (X δ)1≤ ≤n+1 of the process X satisfying dXt = √ VtdBt, with Vt a one-dimensional positive diffusion process independent of the...
F. Comte, V. Genon-Catalot, Yves Rozenholc