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ACL
2008
15 years 3 months ago
Generalized Expectation Criteria for Semi-Supervised Learning of Conditional Random Fields
This paper presents a semi-supervised training method for linear-chain conditional random fields that makes use of labeled features rather than labeled instances. This is accompli...
Gideon S. Mann, Andrew McCallum
ICML
2009
IEEE
16 years 2 months ago
Multi-class image segmentation using conditional random fields and global classification
A key aspect of semantic image segmentation is to integrate local and global features for the prediction of local segment labels. We present an approach to multi-class segmentatio...
Nils Plath, Marc Toussaint, Shinichi Nakajima
INTERSPEECH
2010
14 years 8 months ago
SCARF: a segmental conditional random field toolkit for speech recognition
This paper describes a new toolkit - SCARF - for doing speech recognition with segmental conditional random fields. It is designed to allow for the integration of numerous, possib...
Geoffrey Zweig, Patrick Nguyen
MICCAI
2003
Springer
16 years 2 months ago
A Multiscale Feature Detector for Morphological Analysis of the Brain
Feature detection on MR images has largely relied on intensity classification and gradient-based magnitudes. In this paper, we propose the use of phase congruency as a more robust ...
Marius George Linguraru, Miguel Ángel Gonz&...
VMV
2004
167views Visualization» more  VMV 2004»
15 years 3 months ago
GPU-PIV
Digital Particle Image Velocimetry (PIV) is an optical technique used to measure the velocity of seeded particles in real flow. A CCD camera captures the flow field twice under ex...
Thomas Schiwietz, Rüdiger Westermann