Sparse and shift-invariant feature extraction from non-negative data

Paris Smaragdis; Bhiksha Raj; Madhusudana Shashanka

doi:10.1109/ICASSP.2008.4518048

Sparse and shift-invariant feature extraction from non-negative data

Paris Smaragdis, Bhiksha Raj, Madhusudana Shashanka

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

In this paper we describe a technique that allows the extraction of multiple local shift-invariant features from analysis of non-negative data of arbitrary dimensionality. Our approach employs a probabilistic latent variable model with sparsity constraints. We demonstrate its utility by performing feature extraction in a variety of domains ranging from audio to images and video.

Original language	English (US)
Title of host publication	2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP
Pages	2069-2072
Number of pages	4
DOIs	https://doi.org/10.1109/ICASSP.2008.4518048
State	Published - 2008
Externally published	Yes
Event	2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP - Las Vegas, NV, United States Duration: Mar 31 2008 → Apr 4 2008

Publication series

Name	ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
ISSN (Print)	1520-6149

Other

Other	2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP
Country/Territory	United States
City	Las Vegas, NV
Period	3/31/08 → 4/4/08

Keywords

Feature extraction
Unsupervised learning

ASJC Scopus subject areas

Software
Signal Processing
Electrical and Electronic Engineering

Online availability

10.1109/ICASSP.2008.4518048

Library availability

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Cite this

Smaragdis, P., Raj, B., & Shashanka, M. (2008). Sparse and shift-invariant feature extraction from non-negative data. In 2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP (pp. 2069-2072). Article 4518048 (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings). https://doi.org/10.1109/ICASSP.2008.4518048

Sparse and shift-invariant feature extraction from non-negative data. / Smaragdis, Paris; Raj, Bhiksha; Shashanka, Madhusudana.
2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP. 2008. p. 2069-2072 4518048 (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Smaragdis, P, Raj, B & Shashanka, M 2008, Sparse and shift-invariant feature extraction from non-negative data. in 2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP., 4518048, ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, pp. 2069-2072, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP, Las Vegas, NV, United States, 3/31/08. https://doi.org/10.1109/ICASSP.2008.4518048

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ER -

Sparse and shift-invariant feature extraction from non-negative data

Abstract

Publication series

Other

Keywords

ASJC Scopus subject areas

Online availability

Library availability

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