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ICASSP
2008
IEEE
14 years 2 months ago
Unsupervised learning of auditory filter banks using non-negative matrix factorisation
Non-negative matrix factorisation (NMF) is an unsupervised learning technique that decomposes a non-negative data matrix into a product of two lower rank non-negative matrices. Th...
Alexander Bertrand, Kris Demuynck, Veronique Stout...
AMFG
2007
IEEE
315views Biometrics» more  AMFG 2007»
14 years 1 months ago
Structured Ordinal Features for Appearance-Based Object Representation
In this paper, we propose a novel appearance-based representation, called Structured Ordinal Feature (SOF). SOF is a binary string encoded by combining eight ordinal blocks in a ci...
ShengCai Liao, Zhen Lei, Stan Z. Li, Xiaotong Yuan...
CIDM
2007
IEEE
14 years 1 months ago
Data Mining of MISR Aerosol Product using Spatial Statistics
— In climate models, aerosol forcing is the major source of uncertainty in climate forcing, over the industrial period. To reduce this uncertainty, instruments on satellites have...
Tao Shi, Noel Cressie
ICC
2007
IEEE
110views Communications» more  ICC 2007»
14 years 1 months ago
Performance of Interleave Division Multiple Access Based on Minimum Mean Square Error Detection
— Interleave division multiple access (IDMA) recently attracted many research activities because of its excellent performance despite its reasonable low complexity. The low compl...
Katsutoshi Kusume, Guido Dietl, Wolfgang Utschick,...
GLOBECOM
2006
IEEE
14 years 1 months ago
Low-Complexity Adaptive High-Resolution Channel Prediction for OFDM Systems
Abstract— We propose a low-complexity adaptive highresolution channel prediction algorithm for pilot symbol assisted orthogonal frequency division multiplexing (OFDM) systems. Th...
Ian C. Wong, Brian L. Evans