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» A New View of Automatic Relevance Determination
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AINA
2007
IEEE
15 years 4 months ago
Extracting Significant Phrases from Text
Prospective readers can quickly determine whether a document is relevant to their information need if the significant phrases (or keyphrases) in this document are provided. Althou...
Yuan J. Lui, Richard Brent, Ani Calinescu
96
Voted
ICPR
2002
IEEE
15 years 10 months ago
Entropy Estimation and Multiscale Processing in Meteorological Satellite Images
A new model for the multiscale characterization of turbulence and chaotic information in digital images is presented. The model is applied to infrared satellite images for the det...
Antonio Turiel, Hussein M. Yahia, Jacopo Grazzini
ACSAC
2003
IEEE
15 years 3 months ago
Automated Analysis for Digital Forensic Science: Semantic Integrity Checking
When computer security violations are detected, computer forensic analysts attempting to determine the relevant causes and effects are forced to perform the tedious tasks of find...
Tye Stallard, Karl N. Levitt
ICML
2007
IEEE
15 years 10 months ago
On one method of non-diagonal regularization in sparse Bayesian learning
In the paper we propose a new type of regularization procedure for training sparse Bayesian methods for classification. Transforming Hessian matrix of log-likelihood function to d...
Dmitry Kropotov, Dmitry Vetrov
PAMI
2002
112views more  PAMI 2002»
14 years 9 months ago
Feature Space Trajectory Methods for Active Computer Vision
We advance new active object recognition algorithms that classify rigid objects and estimate their pose from intensity images. Our algorithms automatically detect if the class or p...
Michael A. Sipe, David Casasent