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PAKDD
2011
ACM
209views Data Mining» more  PAKDD 2011»
12 years 11 months ago
Spectral Analysis for Billion-Scale Graphs: Discoveries and Implementation
Abstract. Given a graph with billions of nodes and edges, how can we find patterns and anomalies? Are there nodes that participate in too many or too few triangles? Are there clos...
U. Kang, Brendan Meeder, Christos Faloutsos
ICASSP
2009
IEEE
14 years 3 months ago
Blind system identification for speech dereverberation with Forced Spectral Diversity
The common zeros problem for blind system identification (BSI) is well known. It degrades the performance of classic BSI algorithms and therefore imposes the limit on the perform...
Xiang Lin, Andy W. H. Khong, Patrick A. Naylor
EUSFLAT
2009
152views Fuzzy Logic» more  EUSFLAT 2009»
13 years 6 months ago
Learning Fuzzy Rule Based Classifier in High Performance Computing Environment
-- An approach to estimate the number of rules by spectral analysis of the training dataset has been recently proposed [1]. This work presents an analysis of such a method in high ...
Vinicius da F. Vieira, Alexandre Evsukoff, Beatriz...
TASLP
2008
117views more  TASLP 2008»
13 years 8 months ago
Auditory-Based Spectral Amplitude Estimators for Speech Enhancement
We propose a new family of Bayesian estimators for speech enhancement where the cost function includes both a power law and a weighting factor. The parameters of the cost function,...
Eric Plourde, Benoît Champagne
ICASSP
2011
IEEE
13 years 6 days ago
Fully non-local super-resolution via spectral hashing
Super-resolution is the task of creating an high resolution image from a low resolution input sequence. To overcome the difficulties of fine image registration, several methods ...
Emmanuel d'Angelo, Pierre Vandergheynst