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ICANN
2007
Springer
14 years 1 months ago
Visualising Class Distribution on Self-organising Maps
The Self-Organising Map is a popular unsupervised neural network model which has been used successfully in various contexts for clustering data. Even though labelled data is not re...
Rudolf Mayer, Taha Abdel Aziz, Andreas Rauber
ICIP
2001
IEEE
14 years 8 months ago
An evolving localised learning model for on-line image colour quantisation
Although widely studied for many years, colour quantisation remains a practical problem in image processing. Unlike previous works where the image can only be quantised after the ...
Da Deng, Nikola K. Kasabov
ICDM
2008
IEEE
179views Data Mining» more  ICDM 2008»
14 years 1 months ago
Detection and Exploration of Outlier Regions in Sensor Data Streams
Sensor networks play an important role in applications concerned with environmental monitoring, disaster management, and policy making. Effective and flexible techniques are need...
Conny Franke, Michael Gertz
EUSFLAT
2003
129views Fuzzy Logic» more  EUSFLAT 2003»
13 years 8 months ago
Application of f-regression method to fuzzy classification problem
In regression analysis, outliers always represent difficulties because they cause modeling errors. But under certain circumstances, they can actually contain useful information, as...
Boris Izyumov
PAMI
2012
11 years 9 months ago
Simultaneously Fitting and Segmenting Multiple-Structure Data with Outliers
Abstract—We propose a robust fitting framework, called Adaptive Kernel-Scale Weighted Hypotheses (AKSWH), to segment multiplestructure data even in the presence of a large number...
Hanzi Wang, Tat-Jun Chin, David Suter