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» Geometric Clustering Using the Information Bottleneck Method
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IPCV
2008
14 years 11 months ago
Robust Hough-Based Symbol Recognition Using Knowledge-Based Hierarchical Neural Networks
Abstract - A robust method for symbol recognition is presented that utilizes a compact signature based on a modified Hough Transform (HT) and knowledge-based hierarchical neural ne...
Alexander Wong, William Bishop
ICDIM
2007
IEEE
15 years 4 months ago
An access control video watermarking method that is robust to geometric distortions
: A new video watermarking algorithm for access control is introduced. This method is content-dependent and uses the dual tree complex wavelet transform (DT CWT) to create a waterm...
Lino Coria-Mendoza, Panos Nasiopoulos, Rabab Kreid...
IGPL
2011
14 years 4 months ago
A new clustering algorithm applying a hierarchical method neural network
Clustering is a branch of multivariate analysis that is used to create groups of data. While there are currently a variety of techniques that are used for creating clusters, many ...
Javier Bajo, Juan Francisco de Paz, Sara Rodr&iacu...
JCIT
2007
62views more  JCIT 2007»
14 years 9 months ago
Identification of Economic Cluster with Information Gain Method, based on Input-Output Tables
In this paper, we propose a more flexible “economic cluster identification” approach to analyzing the domestic I/O flows of intermediary goods and service that is based on inf...
Bae Sangbin, Moon Kyungil
ICDAR
2009
IEEE
14 years 7 months ago
Geometric Centroids and their Relative Distances for Off-line Signature Verification
In this paper, we propose a new approach for symbolic representation of off-line signatures based on relative distances between centroids useful for verification. Distances betwee...
H. N. Prakash, D. S. Guru