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ICDM
2009
IEEE
153views Data Mining» more  ICDM 2009»
13 years 4 months ago
A New Clustering Algorithm Based on Regions of Influence with Self-Detection of the Best Number of Clusters
Clustering methods usually require to know the best number of clusters, or another parameter, e.g. a threshold, which is not ever easy to provide. This paper proposes a new graph-b...
Fabrice Muhlenbach, Stéphane Lallich
ICML
2000
IEEE
14 years 7 months ago
Duality and Geometry in SVM Classifiers
We develop an intuitive geometric interpretation of the standard support vector machine (SVM) for classification of both linearly separable and inseparable data and provide a rigo...
Kristin P. Bennett, Erin J. Bredensteiner
MICCAI
2006
Springer
14 years 7 months ago
The Entire Regularization Path for the Support Vector Domain Description
Abstract. The support vector domain description is a one-class classification method that estimates the shape and extent of the distribution of a data set. This separates the data ...
Karl Sjöstrand, Rasmus Larsen
RSS
2007
192views Robotics» more  RSS 2007»
13 years 8 months ago
Simultaneous Localisation and Mapping in Dynamic Environments (SLAMIDE) with Reversible Data Associa
Abstract— The conventional technique for dealing with dynamic objects in SLAM is to detect them and then either treat them as outliers [20][1] or track them separately using trad...
Charles Bibby, Ian D. Reid
ICIP
2005
IEEE
14 years 8 months ago
Hybrid recursive energy-based method for robust optical flow on large motion fields
We present a new reliable hybrid recursive method for optical flow estimation. The method efficiently combines the advantage of discrete motion estimation and optical flow estimati...
Jangheon Kim, Thomas Sikora