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PRL
2008
118views more  PRL 2008»
15 years 5 months ago
Bayes Machines for binary classification
In this work we propose an approach to binary classification based on an extension of Bayes Point Machines. Particularly, we take into account the whole set of hypotheses that are...
Daniel Hernández-Lobato, José Miguel...
ICIP
2010
IEEE
15 years 4 months ago
A variational multiphase level set approach to simultaneous segmentation and bias correction
This paper presents a novel level set approach to simultaneous tissue segmentation and bias correction of Magnetic Resonance Imaging (MRI) images. We first model the distribution ...
Kaihua Zhang, Lei Zhang, Su Zhang
ICDAR
2009
IEEE
15 years 3 months ago
Hierarchical Shape Primitive Features for Online Text-independent Writer Identification
This paper proposes a novel method to text-independent writer identification from online handwriting. The main contributions of our method include two parts: shape primitive repre...
Bangy Li, Zhenan Sun, Tieniu Tan
SAC
2011
ACM
15 years 1 months ago
Slice sampling mixture models
We propose a more efficient version of the slice sampler for Dirichlet process mixture models described by Walker (2007). This sampler allows the fitting of infinite mixture mod...
Maria Kalli, Jim E. Griffin, Stephen G. Walker
TIP
2010
141views more  TIP 2010»
15 years 27 days ago
Efficient Particle Filtering via Sparse Kernel Density Estimation
Particle filters (PFs) are Bayesian filters capable of modeling nonlinear, non-Gaussian, and nonstationary dynamical systems. Recent research in PFs has investigated ways to approp...
Amit Banerjee, Philippe Burlina