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PAKDD
2009
ACM
209views Data Mining» more  PAKDD 2009»
14 years 5 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...
ICASSP
2009
IEEE
14 years 2 months ago
Fast noise PSD estimation with low complexity
Although noise PSD estimation is a crucial part of noise reduction algorithms, most noise PSD estimators have problems in tracking non-stationary noise sources. Recently, a noise ...
Richard C. Hendriks, Richard Heusdens, Jesper Jens...
SIBGRAPI
2009
IEEE
14 years 2 months ago
Learning Discriminative Appearance-Based Models Using Partial Least Squares
Appearance information is essential for applications such as tracking and people recognition. One of the main problems of using appearance-based discriminative models is the ambig...
William Robson Schwartz, Larry S. Davis
WEBI
2009
Springer
14 years 2 months ago
Mining a Multilingual Geographical Gazetteer from the Web
Geographical gazetteers are necessary in a wide variety of applications. In the past, the construction of such gazetteers has been a tedious, manual process and only recently have...
Adrian Popescu, Gregory Grefenstette, Houda Bouamo...
ICASSP
2008
IEEE
14 years 2 months ago
A constrained coefficient ica algorithm for group difference enhancement
Independent component analysis (ICA) is a statistical and computational technique for revealing hidden factors that underlie sets of signals. We propose an improved ICA framework ...
Jing Sui, Jingyu Liu, Lei Wu, Andrew Michael, Lai ...