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ICIP
2003
IEEE
14 years 3 months ago
Parameter estimation for spatial random trees using the EM algorithm
A new class of multiscale multidimensional stochastic processes called spatial random trees was recently introduced in [9]. The model is based on multiscale stochastic trees with ...
Ilya Pollak, Jeffrey Mark Siskind, Mary P. Harper,...
MICCAI
2010
Springer
13 years 8 months ago
Incorporating Priors on Expert Performance Parameters for Segmentation Validation and Label Fusion: A Maximum a Posteriori STAPL
Abstract. In order to evaluate the quality of segmentations of an image and assess intra- and inter-expert variability in segmentation performance, an Expectation Maximization (EM)...
Olivier Commowick, Simon K. Warfield
JMLR
2012
12 years 6 days ago
Deterministic Annealing for Semi-Supervised Structured Output Learning
In this paper we propose a new approach for semi-supervised structured output learning. Our approach uses relaxed labeling on unlabeled data to deal with the combinatorial nature ...
Paramveer S. Dhillon, S. Sathiya Keerthi, Kedar Be...
ICCV
2009
IEEE
15 years 2 months ago
Robust Fitting of Multiple Structures: The Statistical Learning Approach
We propose an unconventional but highly effective approach to robust fitting of multiple structures by using statistical learning concepts. We design a novel Mercer kernel for t...
Tat-Jun Chin, Hanzi Wang, David Suter
ICCV
2001
IEEE
14 years 11 months ago
Propagation of Innovative Information in Non-Linear Least-Squares Structure from Motion
We present a new technique that improves upon existing structure from motion (SFM) methods. We propose a SFM algorithm that is both recursive and optimal. Our method incorporates ...
Drew Steedly, Irfan A. Essa