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ECCV
2010
Springer
14 years 2 months ago
Efficient Highly Over-Complete Sparse Coding using a Mixture Model
Sparse coding of sensory data has recently attracted notable attention in research of learning useful features from the unlabeled data. Empirical studies show that mapping the data...
TCOM
2010
114views more  TCOM 2010»
13 years 4 months ago
Achieving near-capacity performance on multiple-antenna channels with a simple concatenation scheme
This paper proposes a capacity-approaching, yet simple scheme for multi-input multiple-output (MIMO) channels. The proposed scheme is based on a concatenation of a mixture of short...
Nghi H. Tran, Tho Le-Ngoc, Tad Matsumoto, Ha H. Ng...
SPEAKERC
2007
Springer
126views Biometrics» more  SPEAKERC 2007»
14 years 3 months ago
Frame Based Features
In this chapter we will discuss feature extraction methods for speaker classification. We introduce linear predictive coding, mel frequency cepstral coefficients and wavelets and ...
Stefan Schacht, Jacques C. Koreman, Christoph Laue...
CORR
2008
Springer
120views Education» more  CORR 2008»
13 years 9 months ago
Network Protection Codes: Providing Self-healing in Autonomic Networks Using Network Coding
Agile recovery from link failures in autonomic communication networks is essential to increase robustness, accessibility, and reliability of data transmission. However, this must b...
Salah A. Aly, Ahmed E. Kamal
CORR
2011
Springer
161views Education» more  CORR 2011»
13 years 1 months ago
Quadratic Goldreich-Levin Theorems
Decomposition theorems in classical Fourier analysis enable us to express a bounded function in terms of few linear phases with large Fourier coefficients plus a part that is pseu...
Madhur Tulsiani, Julia Wolf