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» Automatic feature selection for anomaly detection
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CVPR
2005
IEEE
15 years 11 months ago
Selection and Fusion of Color Models for Feature Detection
The choice of a color space is of great importance for many computer vision algorithms (e.g. edge detection and object recognition). It induces the equivalence classes to the actu...
Harro M. G. Stokman, Theo Gevers
102
Voted
ICMCS
2005
IEEE
177views Multimedia» more  ICMCS 2005»
15 years 3 months ago
Comparison of Visual Features and Fusion Techniques in Automatic Detection of Concepts from News Video
This study describes experiments on automatic detection of semantic concepts, which are textual descriptions about the digital video content. The concepts can be further used in c...
Mika Rautiainen, Tapio Seppänen
SDM
2009
SIAM
149views Data Mining» more  SDM 2009»
15 years 6 months ago
Near-optimal Supervised Feature Selection among Frequent Subgraphs.
Graph classification is an increasingly important step in numerous application domains, such as function prediction of molecules and proteins, computerised scene analysis, and an...
Alexander J. Smola, Arthur Gretton, Hans-Peter Kri...
RAS
2007
113views more  RAS 2007»
14 years 9 months ago
Visual novelty detection with automatic scale selection
This paper presents experiments with an autonomous inspection robot, whose task was to highlight novel features in its environment from camera images. The experiments used two dif...
Hugo Vieira Neto, Ulrich Nehmzow
ICPR
2004
IEEE
15 years 10 months ago
An Efficient Automatic Redeye Detection and Correction Algorithm
A fully automatic redeye detection and correction algorithm is presented to address the redeye artifacts in digital photos. The algorithm contains a redeye detection part and a co...
Dan Tretter, Huitao Luo, Jonathan Yen