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» Geometric Clustering Using the Information Bottleneck Method
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ADBIS
2007
Springer
145views Database» more  ADBIS 2007»
15 years 10 months ago
A Method for Comparing Self-organizing Maps: Case Studies of Banking and Linguistic Data
The method of self-organizing maps (SOM) is a method of exploratory data analysis used for clustering and projecting multi-dimensional data into a lower-dimensional space to reveal...
Toomas Kirt, Ene Vainik, Leo Vohandu
IEAAIE
2007
Springer
15 years 10 months ago
Robust Multi-scale Full-Band Image Watermarking for Copyright Protection
With the exponential growth of digital materials in this age, the protection of Intellectual Property Right (IPR) becomes an important and urgent topic. In this paper, we propose a...
Jung-Chun Liu, Chu-Hsing Lin, Li-Ching Kuo, Jen-Ch...
CVPR
2012
IEEE
13 years 6 months ago
Robust camera self-calibration from monocular images of Manhattan worlds
We focus on the detection of orthogonal vanishing points using line segments extracted from a single view, and using these for camera self-calibration. Recent methods view this pr...
Horst Wildenauer, Allan Hanbury
APVIS
2009
15 years 5 months ago
A hybrid space-filling and force-directed layout method for visualizing multiple-category graphs
Many graphs used in real-world applications consist of nodes belonging to more than one category. We call such graph "multiplecategory graphs". Social networks are typic...
Takayuki Itoh, Chris Muelder, Kwan-Liu Ma, Jun Ses...
ICIP
2004
IEEE
16 years 5 months ago
An information theoretic framework for image segmentation
In this paper, an information theoretic framework for image segmentation is presented. This approach is based on the information channel that goes from the image intensity histogr...
Jaume Rigau, Miquel Feixas, Mateu Sbert