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ICML
2009
IEEE
16 years 2 months ago
Large margin training for hidden Markov models with partially observed states
Large margin learning of Continuous Density HMMs with a partially labeled dataset has been extensively studied in the speech and handwriting recognition fields. Yet due to the non...
Thierry Artières, Trinh Minh Tri Do
ICML
2006
IEEE
16 years 2 months ago
Efficient MAP approximation for dense energy functions
We present an efficient method for maximizing energy functions with first and second order potentials, suitable for MAP labeling estimation problems that arise in undirected graph...
Marius Leordeanu, Martial Hebert
CVPR
2010
IEEE
15 years 9 months ago
Rapid Selection of Reliable Templates for Visual Tracking
We propose a method that rates the suitability of given templates for template-based tracking in real-time. This is important for applications with online template selection, such...
Nicolas Alt, Stefan Hinterstoisser, Nassir Navab
ICPR
2010
IEEE
15 years 8 months ago
Bayesian Inference for Nonnegative Matrix Factor Deconvolution Models
In this paper we develop a probabilistic interpretation and a full Bayesian inference for non-negative matrix deconvolution (NMFD) model. Our ultimate goal is unsupervised extract...
Serap Kirbiz, Ali Taylan Cemgil, Bilge Gunsel
ICRA
2009
IEEE
98views Robotics» more  ICRA 2009»
15 years 8 months ago
Evaluation of 3D registration reliability and speed - A comparison of ICP and NDT
Abstract— To advance robotic science it is important to perform experiments that can be replicated by other researchers to compare different methods. However, these comparisons t...
Martin Magnusson 0002, Andreas Nüchter, Chris...