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» Common Semantics for Use Cases and Task Models
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IJCAI
2003
15 years 5 months ago
Hierarchical Hidden Markov Models for Information Extraction
Information extraction can be defined as the task of automatically extracting instances of specified classes or relations from text. We consider the case of using machine learni...
Marios Skounakis, Mark Craven, Soumya Ray
TMI
2002
155views more  TMI 2002»
15 years 3 months ago
Active Shape Model Segmentation with Optimal Features
Abstract--An active shape model segmentation scheme is presented that is steered by optimal local features, contrary to normalized first order derivative profiles, as in the origin...
Bram van Ginneken, Alejandro F. Frangi, Joes Staal...
ICIP
2005
IEEE
16 years 5 months ago
New higher-order active contour energies for network extraction
Using the framework of higher-order active contours, we present a new quadratic continuation energy for the extraction of line networks (e.g. road, hydrographic, vascular) in the ...
Marie Rochery, Ian H. Jermyn, Josiane Zerubia
CVPR
2009
IEEE
16 years 11 months ago
Global Connectivity Potentials for Random Field Models
Markov random field (MRF, CRF) models are popular in computer vision. However, in order to be computationally tractable they are limited to incorporate only local interactions a...
Sebastian Nowozin, Christoph H. Lampert
ICIAP
2005
ACM
15 years 9 months ago
Score Selection Techniques for Fingerprint Multi-modal Biometric Authentication
Abstract. Fingerprints are one of the most used biometrics for automatic personal authentication. Unfortunately, it is often difficult to design fingerprint matchers exhibiting th...
Giorgio Giacinto, Fabio Roli, Roberto Tronci