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» Adaptive Learning from Evolving Data Streams
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ECCV
2004
Springer
16 years 2 months ago
Adaptive Probabilistic Visual Tracking with Incremental Subspace Update
Visual tracking, in essence, deals with non-stationary data streams that change over time. While most existing algorithms are able to track objects well in controlled environments,...
David A. Ross, Jongwoo Lim, Ming-Hsuan Yang
CORR
2010
Springer
103views Education» more  CORR 2010»
15 years 25 days ago
Spatially-Adaptive Reconstruction in Computed Tomography Based on Statistical Learning
We propose a direct reconstruction algorithm for Computed Tomography, based on a local fusion of a few preliminary image estimates by means of a non-linear fusion rule. One such ru...
Joseph Shtok, Michael Zibulevsky, Michael Elad
100
Voted
FGR
2008
IEEE
153views Biometrics» more  FGR 2008»
15 years 7 months ago
Facial image analysis using local feature adaptation prior to learning
Many facial image analysis methods rely on learningbased techniques such as Adaboost or SVMs to project classifiers based on the selection of local image filters (e.g., Haar and...
Rogerio Feris, Ying-li Tian, Yun Zhai, Arun Hampap...
96
Voted
ICDE
2007
IEEE
99views Database» more  ICDE 2007»
15 years 7 months ago
A QoS-based Service Composition for Content Adaptation
Today’s Internet suffers from the problem of heterogeneity in client devices, network connectivity, content format, and users’ preferences. The framework presented in this pap...
Khalil El-Khatib, Gregor von Bochmann, Abdulmotale...
ICASSP
2011
IEEE
14 years 4 months ago
Robust speech recognition using dynamic noise adaptation
Dynamic noise adaptation (DNA) [1, 2] is a model-based technique for improving automatic speech recognition (ASR) performance in noise. DNA has shown promise on artificially mixe...
Steven J. Rennie, Pierre L. Dognin, Petr Fousek