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PRL
2007
150views more  PRL 2007»
14 years 11 months ago
A method for initialising the K-means clustering algorithm using kd-trees
We present a method for initialising the K-means clustering algorithm. Our method hinges on the use of a kd-tree to perform a density estimation of the data at various locations. ...
Stephen J. Redmond, Conor Heneghan
MLDM
2007
Springer
15 years 6 months ago
Outlier Detection with Kernel Density Functions
Abstract. Outlier detection has recently become an important problem in many industrial and financial applications. In this paper, a novel unsupervised algorithm for outlier detec...
Longin Jan Latecki, Aleksandar Lazarevic, Dragolju...
ICASSP
2010
IEEE
15 years 18 hour ago
Optimized intrinsic dimension estimator using nearest neighbor graphs
We develop an approach to intrinsic dimension estimation based on k-nearest neighbor (kNN) distances. The dimension estimator is derived using a general theory on functionals of k...
Kumar Sricharan, Raviv Raich, Alfred O. Hero III
CVPR
2008
IEEE
16 years 1 months ago
Semantic texton forests for image categorization and segmentation
We propose semantic texton forests, efficient and powerful new low-level features. These are ensembles of decision trees that act directly on image pixels, and therefore do not ne...
Jamie Shotton, Matthew Johnson, Roberto Cipolla
SAC
2004
ACM
15 years 5 months ago
Forest trees for on-line data
This paper presents an hybrid adaptive system for induction of forest of trees from data streams. The Ultra Fast Forest Tree system (UFFT) is an incremental algorithm, with consta...
João Gama, Pedro Medas, Ricardo Rocha