Sciweavers

584 search results - page 20 / 117
» Algorithms for Spatial Outlier Detection
Sort
View
ACIVS
2006
Springer
14 years 1 months ago
Alternative Fuzzy Clustering Algorithms with L1-Norm and Covariance Matrix
In fuzzy clustering, the fuzzy c-means (FCM) algorithm is the best known and most used method. Although FCM is a very useful method, it is sensitive to noise and outliers so that W...
Miin-Shen Yang, Wen-Liang Hung, Tsiung-Iou Chung
SSDBM
2008
IEEE
114views Database» more  SSDBM 2008»
14 years 2 months ago
A General Framework for Increasing the Robustness of PCA-Based Correlation Clustering Algorithms
Abstract. Most correlation clustering algorithms rely on principal component analysis (PCA) as a correlation analysis tool. The correlation of each cluster is learned by applying P...
Hans-Peter Kriegel, Peer Kröger, Erich Schube...
GECCO
2007
Springer
138views Optimization» more  GECCO 2007»
14 years 1 months ago
A particle swarm algorithm for symbols detection in wideband spatial multiplexing systems
This paper explores the application of the particle swarm algorithm for a NP-hard problem in the area of wireless communications. The specific problem is of detecting symbols in a...
Adnan Ahmed Khan, Muhammad Naeem, Syed Ismail Shah
ICPR
2004
IEEE
14 years 8 months ago
Two-Stage Classification System combining Model-Based and Discriminative Approaches
For the tasks of classification, two types of patterns can generate problems: ambiguous patterns and outliers. Furthermore, it is possible to separate classification algorithms in...
Jonathan Milgram, Mohamed Cheriet, Robert Sabourin
ISBI
2007
IEEE
14 years 1 months ago
Lesion Detection in Noisy Mr Brain Images Using Constrained Gmm and Active Contours
This paper focuses on the detection and segmentation of multiple sclerosis (MS) lesions in magnetic resonance images. The proposed method performs healthy tissue segmentation usin...
Oren Freifeld, Hayit Greenspan, Jacob Goldberger