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TIP
2010
155views more  TIP 2010»
13 years 6 months ago
Laplacian Regularized D-Optimal Design for Active Learning and Its Application to Image Retrieval
—In increasingly many cases of interest in computer vision and pattern recognition, one is often confronted with the situation where data size is very large. Usually, the labels ...
Xiaofei He
SCALESPACE
2007
Springer
14 years 1 months ago
A Consistent Spatio-temporal Motion Estimator for Atmospheric Layers
In this paper, we address the problem of estimating mesoscale dynamics of atmospheric layers from satellite image sequences. Relying on a physically sound vertical decomposition of...
Patrick Héas, Étienne Mémin, ...
ICIP
2009
IEEE
13 years 5 months ago
An automatic Structure-Aware image extrapolation applied to error concealment
A novel framework for spatially estimating unknown image data is presented. Common applications include inpainting, concealment of transmission errors, prediction in video coding,...
Haricharan Lakshman, Patrick Ndjiki-Nya, Martin K&...
PR
2007
104views more  PR 2007»
13 years 7 months ago
Optimizing resources in model selection for support vector machine
Tuning SVM hyperparameters is an important step in achieving a high-performance learning machine. It is usually done by minimizing an estimate of generalization error based on the...
Mathias M. Adankon, Mohamed Cheriet
SIGMOD
2004
ACM
147views Database» more  SIGMOD 2004»
14 years 7 months ago
Robust Query Processing through Progressive Optimization
Virtually every commercial query optimizer chooses the best plan for a query using a cost model that relies heavily on accurate cardinality estimation. Cardinality estimation erro...
Volker Markl, Vijayshankar Raman, David E. Simmen,...