Search Results - "Non-negative sparse coding"

Approximating morphological operators with part-based representations learned by asymmetric auto-encoders

Authors: Jesús Angulo Isabelle Bloch Samy Blusseau et al.

Contributors: Jesús Angulo Isabelle Bloch Samy Blusseau et al.

Source: Mathematical Morphology - Theory and Applications. 4:64-86

Subject Terms: 0301 basic medicine, Morphological invariance, [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], [MATH.MATH-IT]Mathematics [math]/Information Theory [math.IT], Representation Learning, 02 engineering and technology, [INFO.INFO-DM]Computer Science [cs]/Discrete Mathematics [cs.DM], [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], 03 medical and health sciences, XAI, [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, Non-negative sparse coding, 0202 electrical engineering, electronic engineering, information engineering, Mathematical Morphology, Auto-encoders

Access URL: https://www.degruyter.com/document/doi/10.1515/mathm-2020-0102/pdf
https://hal.archives-ouvertes.fr/hal-02915633
https://hal-mines-paristech.archives-ouvertes.fr/hal-02915633v1
https://www.degruyter.com/document/doi/10.1515/mathm-2020-0102/html
https://hal.archives-ouvertes.fr/hal-02915633/document
https://dblp.uni-trier.de/db/journals/mathm/mathm4.html#BlusseauPVAB20

Piano multipitch estimation using sparse coding embedded deep learning

Authors: Xingda Li Yujing Guan Yingnian Wu et al.

Source: EURASIP Journal on Audio, Speech, and Music Processing, Vol 2018, Iss 1, Pp 1-23 (2018)

Subject Terms: Multipitch estimation, Multimodal NMF, Non-negative sparse coding, Non-negative incoherent dictionary learning, Deep learning, Acoustics. Sound, QC221-246, Electronic computers. Computer science, QA75.5-76.95

File Description: electronic resource

Relation: http://link.springer.com/article/10.1186/s13636-018-0132-x; https://doaj.org/toc/1687-4722

Access URL: https://doaj.org/article/b4baaf79d7244e95afbd90895838e2ea

Wearable Hearing Device Spectral Enhancement Driven by Non-Negative Sparse Coding-Based Residual Noise Reduction

Authors: Seon Man Kim

Source: Sensors, Vol 20, Iss 5751, p 5751 (2020)

Subject Terms: hearing device, hearing aid, speech enhancement, Wiener filter, residual noise, non-negative sparse coding, Chemical technology, TP1-1185

Relation: https://www.mdpi.com/1424-8220/20/20/5751; https://doaj.org/toc/1424-8220; https://doaj.org/article/c881c73b7a4e461e92db7a0eb4042950

Availability: https://doi.org/10.3390/s20205751
https://doaj.org/article/c881c73b7a4e461e92db7a0eb4042950

Noise robust exemplar matching with coupled dictionaries for single-channel speech enhancement

Authors: Yilmaz, Emre Baby, Deepak Van hamme, Hugo

Source: 2015 23rd European Signal Processing Conference (EUSIPCO). :874-878

Subject Terms: coupled dictionaries, Technology, non-negative sparse coding, Science & Technology, Engineering, Electrical & Electronic, PSI_SPEECH, 02 engineering and technology, 03 medical and health sciences, Engineering, PSI_3957, 0202 electrical engineering, electronic engineering, information engineering, exemplar matching, speech enhancement, NONNEGATIVE MATRIX FACTORIZATION, 0305 other medical science

Access URL: https://lirias.kuleuven.be/bitstream/123456789/510541/1/3957_final.pdf
http://ieeexplore.ieee.org/document/7362508/
https://ieeexplore.ieee.org/document/7362508/
https://dblp.uni-trier.de/db/conf/eusipco/eusipco2015.html#YilmazBh15
https://lirias.kuleuven.be/handle/123456789/510541
https://doi.org/10.1109/eusipco.2015.7362508

Noise-robust digit recognition with exemplar-based sparse representations of variable length

Authors: Yilmaz, Emre Gemmeke, Jort Van Compernolle, Dirk et al.

Contributors: Yilmaz, Emre Gemmeke, Jort Van Compernolle, Dirk et al.

Source: 2012 IEEE International Workshop on Machine Learning for Signal Processing. :1-4

Subject Terms: Technology, non-negative sparse coding, Science & Technology, multiple dictionaries, Engineering, Electrical & Electronic, PSI_SPEECH, 02 engineering and technology, Computer Science, Artificial Intelligence, noise robustness, Automation & Control Systems, Engineering, Computer Science, SEPARATION, 0202 electrical engineering, electronic engineering, information engineering, Exemplar-based recognition, CONTINUOUS SPEECH RECOGNITION

Access URL: https://lirias.kuleuven.be/bitstream/123456789/355633/4/3468_postprint.pdf
https://dblp.uni-trier.de/db/conf/mlsp/mlsp2012.html#YilmazGCh12
http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.ieee-000006349738
http://dblp.uni-trier.de/db/conf/mlsp/mlsp2012.html#YilmazGCh12
https://ieeexplore.ieee.org/document/6349738/
https://lirias.kuleuven.be/handle/123456789/355633
https://doi.org/10.1109/mlsp.2012.6349738

Coupled Dictionaries for Exemplar-Based Speech Enhancement and Automatic Speech Recognition

Authors: Baby, Deepak Virtanen, Tuomas Gemmeke, Jort et al.

Source: IEEE/ACM Transactions on Audio, Speech, and Language Processing. 23:1788-1799

Subject Terms: Speech-Language Pathology & Audiology, Technology, non-negative sparse coding, Science & Technology, modulation envelope, 4602 Artificial intelligence, Exemplar-based, Engineering, Electrical & Electronic, PSI_SPEECH, Acoustics, NOISE, 0906 Electrical and Electronic Engineering, 4603 Computer vision and multimedia computation, 03 medical and health sciences, Engineering, 4006 Communications engineering, 0801 Artificial Intelligence and Image Processing, noise robust automatic speech recognition, MODULATION, PSI_3995, 0305 other medical science

Access URL: https://lirias.kuleuven.be/bitstream/123456789/523134/5/3995.pdf
https://lirias.kuleuven.be/handle/123456789/523134
https://doi.org/10.1109/taslp.2015.2450491

Denoising sound signals in a bioinspired non-negative spectro-temporal domain

Authors: C.E. Martínez J. Goddard L.E. Di Persia et al.

Source: CONICET Digital (CONICET)
Consejo Nacional de Investigaciones Científicas y Técnicas

Subject Terms: 03 medical and health sciences, Approximate Auditory Cortical Representation, Non-Negative Sparse Coding, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 0305 other medical science, 10. No inequality, Bioinspired Signal Processing, Sound Denoising

File Description: application/pdf

Access URL: https://dblp.uni-trier.de/db/journals/dsp/dsp38.html#MartinezGPMR15
https://ri.conicet.gov.ar/handle/11336/40076
https://dl.acm.org/doi/10.1016/j.dsp.2014.12.008
https://www.sciencedirect.com/science/article/pii/S1051200414003509
https://notablesdelaciencia.conicet.gov.ar/handle/11336/40076
https://doi.org/10.1016/j.dsp.2014.12.008
http://hdl.handle.net/11336/40076

Speech overlap detection using convolutive non-negative sparse coding: New improvements and Insights

Authors: Geiger, Jürgen Vipperla, Ravichander Evans, Nicholas et al.

Contributors: Geiger, Jürgen Vipperla, Ravichander Evans, Nicholas et al.

Source: EUSIPCO 2012, European Signal Processing Conference, August, 27-31, 2012, Bucharest, Romania

Subject Terms: speech overlap detection, convolutive non-negative sparse coding, speaker diarization

Access URL: http://www.eurecom.fr/publication/3729

Speech overlap detection and attribution using convolutive non-negative sparse coding

Authors: Vipperla, R. Geiger, J. Bozonnet, S. et al.

Contributors: Vipperla, R. Geiger, J. Bozonnet, S. et al.

Source: ICASSP 2012, 37th International Conference on Acoustics, Speech and Signal Processing, March 25-30, 2012, Kyoto, Japan

Subject Terms: overlap detection, speaker attribution, speaker diarization, convolutive non-negative sparse coding, ddc

File Description: application/pdf

Access URL: http://www.eurecom.fr/publication/3595
https://mediatum.ub.tum.de/doc/1137899/document.pdf

Representation and Denoising Based on Non-negative Sparse Coding

Authors: Li Shang Chunhou Zheng Zhanli Sun et al.

Contributors: Li Shang Chunhou Zheng Zhanli Sun et al.

Source: http://www.setit.rnu.tn/last_edition/setit2005/image-video/37.pdf.

Subject Terms: Key words, Image Denoising, Image Feature Extraction, Non-negative Matrix Factorization, Non-negative Sparse Coding, Linear Sparse Coding

File Description: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.534.1089

Availability: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.534.1089
http://www.setit.rnu.tn/last_edition/setit2005/image-video/37.pdf

Online Convolutive Non-Negative Bases Learning for Speech Enhancement

Authors: Li LI Meng SUN Xiongwei ZHANG et al.

Source: IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences. 2016, E99.A(8):1609

Human interaction recognition through two-phase sparse coding

Authors: Zhang, Bo Conci, Nicola De Natale, Francesco

Source: SPIE Proceedings. 9026:90260F

Subject Terms: 03 medical and health sciences, 0302 clinical medicine, Human interaction, label consistent KSVD, non-negative sparse coding, sparse model, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 16. Peace & justice

Access URL: https://www.spiedigitallibrary.org/conference-proceedings-of-spie/9026/1/Human-interaction-recognition-through-two-phase-sparse-coding/10.1117/12.2041206.full
http://ui.adsabs.harvard.edu/abs/2014SPIE.9026E..0FZ/abstract
https://proceedings.spiedigitallibrary.org/proceeding.aspx?articleid=1840952
http://www.scopus.com/inward/record.url?eid=2-s2.0-84901745358&partnerID=40&md5=50e7abd695e58ca02754a805d9b285de
https://hdl.handle.net/11572/101190
https://doi.org/10.1117/12.2041206

Speech overlap detection and attribution using convolutive non-negative sparse coding

Authors: Vipperla, Ravichander Geiger, Juergen T Bozonnet, Simon et al.

Contributors: Vipperla, Ravichander Geiger, Juergen T Bozonnet, Simon et al.

Source: ICASSP 2012, 37th International Conference on Acoustics, Speech and Signal Processing, March 25-30, 2012, Kyoto, Japan

Subject Terms: overlap detection, speaker attribution, speaker diarization, convolutive non-negative sparse coding

Relation: https://www.eurecom.fr/publication/3595

Availability: https://www.eurecom.fr/publication/3595

i

Contributors: The Pennsylvania State University CiteSeerX Archives

Source: http://www.intelengine.cn/doc/2006/sdarticle_Shang L.pdf.

Subject Terms: Non-negative sparse coding, Feature basis vectors, Shrinkage function, Image denoising

File Description: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.508.1842; http://www.intelengine.cn/doc/2006/sdarticle_Shang L.pdf

Availability: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.508.1842
http://www.intelengine.cn/doc/2006/sdarticle_Shang L.pdf

Denoising sound signals in a bioinspired non-negative spectro-temporal domain

Authors: Martínez, César Ernesto Goddard, J. Di Persia, Leandro Ezequiel et al.

Subject Terms: Approximate Auditory Cortical Representation, Sound Denoising, Non-Negative Sparse Coding, Bioinspired Signal Processing, https://purl.org/becyt/ford/2.2, https://purl.org/becyt/ford/2

File Description: application/pdf

Relation: info:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S1051200414003509; http://hdl.handle.net/11336/40076; CONICET Digital; CONICET

Availability: http://hdl.handle.net/11336/40076

Medical image classification based on multi-scale non-negative sparse coding.

Authors: Zhang R Shen J Wei F et al.

Source: Artificial intelligence in medicine [Artif Intell Med] 2017 Nov; Vol. 83, pp. 44-51. Date of Electronic Publication: 2017 May 27.

Publication Type: Journal Article

Journal Info: Publisher: Elsevier Science Publishing Country of Publication: Netherlands NLM ID: 8915031 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-2860 (Electronic) Linking ISSN: 09333657 NLM ISO Abbreviation: Artif Intell Med Subsets: MEDLINE

MeSH Terms: Artificial Intelligence*, Diagnostic Imaging/*classification , Image Interpretation, Computer-Assisted/*methods, Humans ; Pattern Recognition, Automated ; Predictive Value of Tests ; ROC Curve