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» Kernel Methods for Pattern Analysis
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189
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ICIP
1994
IEEE
15 years 4 months ago
Total Variation Based Image Restoration with Free Local Constraints
The two main plagues of image restoration are oscillations and smoothing. Traditional image restoration techniques prevent parasitic oscillations by resorting to smooth regulariza...
Leonid I. Rudin, Stanley Osher
116
Voted
ICIP
2007
IEEE
16 years 2 months ago
Unsupervised Modeling of Object Tracks for Fast Anomaly Detection
A key goal of far-field activity analysis is to learn the usual pattern of activity in a scene and to detect statistically anomalous behavior. We propose a method for unsupervised...
Tomas Izo, W. Eric L. Grimson
94
Voted
ICPR
2004
IEEE
16 years 1 months ago
Adjustable Invariant Features by Partial Haar-Integration
A very common type of a-priori knowledge in pattern analysis problems is invariance of the input data with respect to transformation groups, e.g. geometric transformations of imag...
Alaa Halawani, Bernard Haasdonk, Hans Burkhardt
85
Voted
KDD
2004
ACM
103views Data Mining» more  KDD 2004»
16 years 1 months ago
An objective evaluation criterion for clustering
We propose and test an objective criterion for evaluation of clustering performance: How well does a clustering algorithm run on unlabeled data aid a classification algorithm? The...
Arindam Banerjee, John Langford
97
Voted
IBPRIA
2007
Springer
15 years 6 months ago
Known Unknowns: Novelty Detection in Condition Monitoring
In time-series analysis it is often assumed that observed data can be modelled as being derived from a number of regimes of dynamics, as e.g. in a Switching Kalman Filter (SKF) [1,...
John A. Quinn, Christopher K. I. Williams