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» An overview of clustering methods
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IAJIT
2006
109views more  IAJIT 2006»
15 years 6 months ago
Image Segmentation Based on Watershed and Edge Detection Techniques
: A combination of K-means, watershed segmentation method, and Difference In Strength (DIS) map was used to perform image segmentation and edge detection tasks. We obtained an init...
Nassir Salman
141
Voted
IJON
2006
85views more  IJON 2006»
15 years 6 months ago
From outliers to prototypes: Ordering data
We propose simple and fast methods based on nearest neighbors that order objects from high-dimensional data sets from typical points to untypical points. On the one hand, we show ...
Stefan Harmeling, Guido Dornhege, David M. J. Tax,...
KES
2008
Springer
15 years 6 months ago
Readable Representations for Large-Scale Bipartite Graphs
Bipartite graphs appear in various scenes in the real world, and visualizing these graphs helps improve our understanding of network structures. The amount of information that is a...
Shuji Sato, Kazuo Misue, Jiro Tanaka
JACM
2010
208views more  JACM 2010»
15 years 5 months ago
The nested chinese restaurant process and bayesian nonparametric inference of topic hierarchies
clustering of documents according to sharing of topics at multiple levels of abstraction. Given a corpus of documents, a posterior inference algorithm finds an approximation to a ...
David M. Blei, Thomas L. Griffiths, Michael I. Jor...
ICIP
2010
IEEE
15 years 4 months ago
Hyper-DEMIX: Blind source separation of hyperspectral images using local ML estimates
We propose a new method to unmix hyperspectral images. Our method exploits the structure of the material abundance maps by assuming that in some regions of the spatial dimension, ...
Simon Arberet