4773 search results - page 728 / 955 » Learning from Uncertain Data |
158
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ICCV
2003
IEEE
16 years 8 months ago
2003
IEEE
Many sensing techniques and image processing applications are characterized by noisy, or corrupted, image data. Anisotropic diffusion is a popular, and theoretically well understo...
174
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ISBI
2008
IEEE
16 years 7 months ago
2008
IEEE
We propose a new Bayesian, stochastic tracking algorithm for the segmentation of blood vessels from 3D medical image data. Inspired by the recent developments in particle filterin...
147
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CSIE
2009
IEEE
16 years 1 months ago
2009
IEEE
Building a model using machine learning that can classify the sentiment of natural language text often requires an extensive set of labeled training data from the same domain as t...
189
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IDA
1999
Springer
15 years 10 months ago
1999
Springer
The goal of input-output modeling is to apply a test input to a system, analyze the results, and learn something useful from the causeeffect pair. Any automated modeling tool that...
187
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IWCMC
2010
ACM
15 years 8 months ago
2010
ACM
Despite a large body of literature and methods devoted to the Traffic Matrix (TM) estimation problem, the inference of traffic flows volume from aggregated data still represents a ...