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» Using a probabilistic source model for comparing images
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ICIP
2004
IEEE
14 years 9 months ago
Blind source camera identification
An interesting problem in digital forensics is that given a digital image, would it be possible to identify the camera model which was used to obtain the image. In this paper we l...
Mehdi Kharrazi, Husrev T. Sencar, Nasir D. Memon
ISBI
2004
IEEE
14 years 8 months ago
Modelling Noise-Induced Fibre-Orientation Error in Diffusion-Tensor MRI
Diffusion-Tensor MRI can be used to measure fibre orientation within the brain. Several studies have proposed methods to reconstruct known white matter fibre tracts in the brain. ...
Philip A. Cook, Daniel C. Alexander, Geoffrey J. M...
IBPRIA
2003
Springer
14 years 18 days ago
Smoothing Techniques for Tree-k-Grammar-Based Natural Language Modeling
Abstract. In a previous work, a new probabilistic context-free grammar (PCFG) model for natural language parsing derived from a tree bank corpus has been introduced. The model esti...
Jose L. Verdú-Mas, Jorge Calera-Rubio, Rafa...
IDA
2009
Springer
14 years 3 hour ago
Image Source Separation Using Color Channel Dependencies
We investigate the problem of source separation in images in the Bayesian framework using the color channel dependencies. As a case in point we consider the source separation of co...
Koray Kayabol, Ercan E. Kuruoglu, Bülent Sank...
AO
2005
75views more  AO 2005»
13 years 7 months ago
A multi-layered ontology for comparing relationship semantics in conceptual models of databases
Relationships are an integral part of the design of a database. Comparing and integrating relationships from heterogeneous databases requires that the relationships be mapped to ea...
Sandeep Purao, Veda C. Storey