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» Approximate Expectation Maximization
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CVPR
2000
IEEE
16 years 1 months ago
Mixture Models and the Segmentation of Multimodal Textures
A problem of using mixture-of-Gaussian models for unsupervised texturesegmentationisthat "multimodal"textures(such ascan often be encountered in natural images) cannot b...
Roberto Manduchi
ICIP
2003
IEEE
16 years 1 months ago
EM-based simultaneous registration, restoration, and interpolation of super-resolved images
We present a maximum likelihood (Ml) solution to the problem of obtaining high-resolution images from sequences of noisy, blurred, and low-resolution images. In our formulation, t...
Nathan A. Woods, Nikolas P. Galatsanos, Aggelos K....
EACL
2009
ACL Anthology
16 years 1 days ago
EM Works for Pronoun Anaphora Resolution
We present an algorithm for pronounanaphora (in English) that uses Expectation Maximization (EM) to learn virtually all of its parameters in an unsupervised fashion. While EM freq...
Eugene Charniak, Micha Elsner
IROS
2007
IEEE
180views Robotics» more  IROS 2007»
15 years 5 months ago
Detection of thrown objects in indoor and outdoor scenes
— We present a novel technique for the detection of hand-thrown objects in a video sequence. Our method runs in real-time and was designed to be used as a component in a deployed...
Evan Ribnick, Stefan Atev, Nikolaos Papanikolopoul...
COMPLIFE
2006
Springer
15 years 3 months ago
Set-Oriented Dimension Reduction: Localizing Principal Component Analysis Via Hidden Markov Models
We present a method for simultaneous dimension reduction and metastability analysis of high dimensional time series. The approach is based on the combination of hidden Markov model...
Illia Horenko, Johannes Schmidt-Ehrenberg, Christo...