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» Solving Constraints in Model Transformations
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TSMC
2011
228views more  TSMC 2011»
14 years 7 months ago
Privacy-Preserving Outlier Detection Through Random Nonlinear Data Distortion
— Consider a scenario in which the data owner has some private/sensitive data and wants a data miner to access it for studying important patterns without revealing the sensitive ...
Kanishka Bhaduri, Mark D. Stefanski, Ashok N. Sriv...
102
Voted
ICIAR
2005
Springer
15 years 6 months ago
Text-Pose Estimation in 3D Using Edge-Direction Distributions
Abstract. This paper presents a method for estimating the orientation of planar text surfaces using the edge-direction distribution (EDD) extracted from the image as input to a neu...
Marius Bulacu, Lambert Schomaker
DAWAK
2005
Springer
15 years 6 months ago
Optimizing a Sequence of Frequent Pattern Queries
Discovery of frequent patterns is a very important data mining problem with numerous applications. Frequent pattern mining is often regarded as advanced querying where a user speci...
Mikolaj Morzy, Marek Wojciechowski, Maciej Zakrzew...
ECCV
2002
Springer
16 years 2 months ago
Robust Parameterized Component Analysis
Principal ComponentAnalysis (PCA) has been successfully applied to construct linear models of shape, graylevel, and motion. In particular, PCA has been widely used to model the var...
Fernando De la Torre, Michael J. Black
133
Voted
FGR
2011
IEEE
271views Biometrics» more  FGR 2011»
14 years 4 months ago
Active conditional models
— Matching images with large geometric and iconic changes (e.g. faces under different poses and facial expressions) is an open research problem in computer vision. There are two ...
Ying Chen, Fernando De la Torre