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» Algorithms for Spatial Outlier Detection
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KDD
1997
ACM
146views Data Mining» more  KDD 1997»
13 years 11 months ago
Density-Connected Sets and their Application for Trend Detection in Spatial Databases
1 Several clustering algorithms have been proposed for class identification in spatial databases such as earth observation databases. The effectivity of the well-known algorithms ...
Martin Ester, Hans-Peter Kriegel, Jörg Sander...
ICASSP
2011
IEEE
12 years 11 months ago
Finding curves in SAR CCD images
This paper introduces a pattern recognition and computer vision approach to mitigating false alarms in synthetic aperture radar (SAR) coherence change detection (CCD) images. In t...
Miriam Cha, Rhonda Phillips, Michael Yee
VMV
2003
151views Visualization» more  VMV 2003»
13 years 9 months ago
Optimized Spatial Hashing for Collision Detection of Deformable Objects
We propose a new approach to collision and self– collision detection of dynamically deforming objects that consist of tetrahedrons. Tetrahedral meshes are commonly used to repre...
Matthias Teschner, Bruno Heidelberger, Matthias M&...
IPMI
2005
Springer
14 years 8 months ago
From Spatial Regularization to Anatomical Priors in fMRI Analysis
In this paper, we study Markov Random Fields as spatial smoothing priors in fMRI detection. Relatively high noise in fMRI images presents a serious challenge for the detection algo...
Wanmei Ou, Polina Golland
EUSFLAT
2009
123views Fuzzy Logic» more  EUSFLAT 2009»
13 years 5 months ago
A New Fuzzy Noise-Rejection Data Partitioning Algorithm with Revised Mahalanobis Distance
Fuzzy C-Means (FCM) and hard clustering are the most common tools for data partitioning. However, the presence of noisy observations in the data may cause generation of completely ...
Mohammad Hossein Fazel Zarandi, Milad Avazbeigi, I...