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» Sequential sparsification for change detection
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KDD
2005
ACM
178views Data Mining» more  KDD 2005»
14 years 29 days ago
Failure detection and localization in component based systems by online tracking
The increasing complexity of today’s systems makes fast and accurate failure detection essential for their use in mission-critical applications. Various monitoring methods provi...
Haifeng Chen, Guofei Jiang, Cristian Ungureanu, Ke...
CRV
2011
IEEE
337views Robotics» more  CRV 2011»
12 years 7 months ago
Object Detection Using Principal Contour Fragments
Abstract—Contour features play an important role in object recognition. Psychological experiments have shown that maximum-curvature points are most distinctive along a contour [6...
Changhai Xu, Benjamin Kuipers
TSP
2008
92views more  TSP 2008»
13 years 7 months ago
Quickest Detection and Tracking of Spawning Targets Using Monopulse Radar Channel Signals
Recent advances have been reported in detecting and estimating the location of more than one target within a single monopulse radar beam. Successful tracking of those targets has ...
Atef Isaac, Peter Willett, Yaakov Bar-Shalom
JUCS
2008
180views more  JUCS 2008»
13 years 7 months ago
A Novel Multi-Layer Level Set Method for Image Segmentation
: In this paper, a new multi-layer level set method is proposed for multi-phase image segmentation. The proposed method is based on the conception of image layer and improved numer...
Xiaofeng Wang, De-Shuang Huang
IDEAL
2010
Springer
13 years 6 months ago
Analysing Satellite Image Time Series by Means of Pattern Mining
Abstract. Change detection in satellite image time series is an important domain with various applications in land study. Most previous works proposed to perform this detection by ...
François Petitjean, Pierre Gançarski...