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ICIP
2002
IEEE
16 years 4 months ago
A new direction adaptive scheme for image interpolation
In this paper, we present a novel image interpolation method based on variational models with both smoothing and orientation constraints. By introducing the orientation constraint...
Hao Jiang, Cecilia Moloney
CIKM
2009
Springer
15 years 9 months ago
LoOP: local outlier probabilities
Many outlier detection methods do not merely provide the decision for a single data object being or not being an outlier but give also an outlier score or “outlier factor” sig...
Hans-Peter Kriegel, Peer Kröger, Erich Schube...
PKDD
2007
Springer
121views Data Mining» more  PKDD 2007»
15 years 9 months ago
Improved Algorithms for Univariate Discretization of Continuous Features
In discretization of a continuous variable its numerical value range is divided into a few intervals that are used in classification. For example, Na¨ıve Bayes can benefit from...
Jussi Kujala, Tapio Elomaa
ECAI
2004
Springer
15 years 6 months ago
Instance-Based Prediction with Guaranteed Confidence
Instance-based learning (IBL) algorithms have proved to be successful in many applications. However, as opposed to standard statistical methods, a prediction in IBL is usually give...
Eyke Hüllermeier
MOC
1998
136views more  MOC 1998»
15 years 2 months ago
Total variation diminishing Runge-Kutta schemes
In this paper we further explore a class of high order TVD (total variation diminishing) Runge-Kutta time discretization initialized in a paper by Shu and Osher, suitable for solvi...
Sigal Gottlieb, Chi-Wang Shu