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ICA
2010
Springer
13 years 9 months ago
Adaptive Underdetermined ICA for Handling an Unknown Number of Sources
Independent Component Analysis is the best known method for solving blind source separation problems. In general, the number of sources must be known in advance. In many cases, pre...
Andreas Sandmair, Alam Zaib, Fernando Puente Le&oa...
VRML
2010
ACM
14 years 16 days ago
Shadow maps and projective texturing in X3D
We propose a number of X3D extensions to enable shadows in the virtual worlds. Our higher-level extensions are an easy way to request shadows independently of their implementation...
Michalis Kamburelis
ICDAR
2011
IEEE
12 years 8 months ago
Language-Independent Text Lines Extraction Using Seam Carving
Abstract—In this paper, we present a novel languageindependent algorithm for extracting text-lines from handwritten document images. Our algorithm is based on the seam carving ap...
Raid Saabni, Jihad El-Sana
TIP
2002
179views more  TIP 2002»
13 years 8 months ago
Unsupervised image classification, segmentation, and enhancement using ICA mixture models
An unsupervised classification algorithm is derived by modeling observed data as a mixture of several mutually exclusive classes that are each described by linear combinations of i...
Te-Won Lee, Michael S. Lewicki
ISCAS
2005
IEEE
131views Hardware» more  ISCAS 2005»
14 years 2 months ago
Blind signal separation into groups of dependent signals using joint block diagonalization
— Multidimensional or group independent component analysis describes the task of transforming a multivariate observed sensor signal such that groups of the transformed signal com...
Fabian J. Theis