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PAKDD
2009
ACM
209views Data Mining» more  PAKDD 2009»
14 years 4 months ago
Approximate Spectral Clustering.
Spectral clustering refers to a flexible class of clustering procedures that can produce high-quality clusterings on small data sets but which has limited applicability to large-...
Christopher Leckie, James C. Bezdek, Kotagiri Rama...
ICIP
2009
IEEE
14 years 8 months ago
Sparsity And Morphological Diversity For Hyperspectral Data Analysis
Recently morphological diversity and sparsity have emerged as new and effective sources of diversity for Blind Source Separation. Based on these new concepts, novel methods such a...
BMCBI
2010
151views more  BMCBI 2010»
13 years 7 months ago
Data reduction for spectral clustering to analyze high throughput flow cytometry data
Background: Recent biological discoveries have shown that clustering large datasets is essential for better understanding biology in many areas. Spectral clustering in particular ...
Habil Zare, Parisa Shooshtari, Arvind Gupta, Ryan ...
CEAS
2008
Springer
13 years 9 months ago
Analysis of Spectral Parameters of Audio Signals for the Identification of Spam Over IP Telephony
A method is presented which analyses the audio speech data of voice calls and calculates an "acoustic fingerprint". The audio data of the voice calls are compared with e...
Christoph Pörschmann, Heiko Knospe
CVPR
2011
IEEE
12 years 11 months ago
Multiscale Geometric and Spectral Analysis of Plane Arrangements
Modeling data by multiple low-dimensional planes is an important problem in many applications such as computer vision and pattern recognition. In the most general setting where on...
Guangliang Chen, Mauro Maggioni