Zobrazeno 1 - 10
of 41
pro vyhledávání: '"Soren Vang Andersen"'
Publikováno v:
EUSIPCO
We consider the over-fitting problem for multinomial probabilistic Latent Semantic Analysis (pLSA) in collaborative filtering, using a regularization approach. For big data applications, the computational complexity is at a premium and we, therefore,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cd195693ca6dc1f013816d80fdbe35a7
Autor:
Andreas Jakobsson, Soren Vang Andersen, Stefan Ingi Adalbjörnsson, Johan Sward, Magnus Orn Berg
Publikováno v:
EUSIPCO
Collaborative filtering for recommender systems seeks to learn and predict user preferences for a collection of items by identifying similarities between users on the basis of their past interest or interaction with the items in question. In this wor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ce0467f69e41b15ea23f6991d0c5a2a6
https://doi.org/10.1109/eusipco.2016.7760618
https://doi.org/10.1109/eusipco.2016.7760618
Publikováno v:
EUSIPCO
Arildsen, T, Murthi, M, Andersen, S V & Jensen, S H 2009, ' On Predictive Coding for Erasure Channels Using a Kalman Framework ', IEEE Transactions on Signal Processing, vol. 57, no. 11, pp. 4456-4466 . https://doi.org/10.1109/TSP.2009.2025796
Arildsen, T, Murthi, M, Andersen, S V & Jensen, S H 2009, ' On Predictive Coding for Erasure Channels Using a Kalman Framework ', IEEE Transactions on Signal Processing, vol. 57, no. 11, pp. 4456-4466 . https://doi.org/10.1109/TSP.2009.2025796
Udgivelsesdato: NOV We present a new design method for robust low-delay coding of autoregressive sources for transmission across erasure channels. It is a fundamental rethinking of existing concepts. It considers the encoder a mechanism that produces
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a760b98c0e72edb670f8c1027fafd96e
https://doi.org/10.1109/tsp.2009.2025796
https://doi.org/10.1109/tsp.2009.2025796
Publikováno v:
Subasingha, S, Murthi, MN & Andersen, S V 2009, ' Gaussian Mixture Kalman Predictive Coding of Line Spectral Frequencies ', IEEE Transactions on Audio Speech and Language Processing, vol. 17, no. 2, pp. 379-391 . https://doi.org/10.1109/TASL.2008.2008735
Gaussian mixture model (GMM)-based predictive coding of line spectral frequencies (LSFs) has gained wide acceptance. In such coders, each mixture of a GMM can be interpreted as defining a linear predictive transform coder. In this paper, we use Kalma
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f7456a0ab7803afcef54aecee0d398c5
https://doi.org/10.1109/tasl.2008.2008735
https://doi.org/10.1109/tasl.2008.2008735
Autor:
Soren Vang Andersen, Chunjian Li
Publikováno v:
Li, C & Andersen, S V 2007, ' Efficient Blind System Identification of Non-Gaussian Auto-Regressive Models with HMM Modeling of the Excitation ', IEEE Transactions on Signal Processing, vol. 55, no. 6 (1), pp. 2432-2445 . https://doi.org/10.1109/TSP.2007.893935
We have previously proposed a blind system identification method that exploits the underlying dynamics of non-Gaussian signals in [Li and Andersen, "Blind identification of Non-Gaussian Autoregressive Models for Efficient Analysis of Speech Signals,"
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::012d67d59725d871c6115f933a5a20e0
https://doi.org/10.1109/tsp.2007.893935
https://doi.org/10.1109/tsp.2007.893935
Publikováno v:
Sørensen, K V & Andersen, S V 2007, ' Rayleigh Mixture Model-Based Hidden Markov Modeling and Estimation of Noise in Noisy Speech Signals ', IEEE Transactions on Audio Speech and Language Processing, vol. 15, no. 3, pp. 901-917 . https://doi.org/10.1109/TASL.2006.885240
In this paper, we propose a new statistical model for noise periodogram modeling and estimation. The proposed model is a hidden Markov model (HMM) with a Rayleigh mixture model (RMM) in each state. For this new model, we derive an expectation-maximiz
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d9b8dd760ff5d4e7db67b2440131edb7
https://doi.org/10.1109/tasl.2006.885240
https://doi.org/10.1109/tasl.2006.885240
Publikováno v:
GLOBECOM
In this paper, we introduce an app-radio cross-layer framework for improving Quality of user Experience (QoE) of Over-The-Top (OTT) Internet applications in Mobile Broadband Networks, e.g. WiMAX, 3G, LTE, etc. We apply methods similar to the well-kno
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1f43b3839b9f766f653be07382eafd8c
https://doi.org/10.1109/glocom.2012.6503399
https://doi.org/10.1109/glocom.2012.6503399
Publikováno v:
DPS
Subasingha, S, Murthi, M N & Andersen, S V 2009, A Kalman filtering approach to GMM predictive coding of LSFS for packet loss conditions . in Proceedings of the 16th international conference on Digital Signal Processing . IEEE Press, pp. 434-439, DSP 2009: 16th International Conference on Digital Signal Processing, Santorini, Greece, 05/07/2009 . https://doi.org/10.1109/ICDSP.2009.5201111
Subasingha, S, Murthi, M N & Andersen, S V 2009, A Kalman filtering approach to GMM predictive coding of LSFS for packet loss conditions . in Proceedings of the 16th international conference on Digital Signal Processing . IEEE Press, pp. 434-439, DSP 2009: 16th International Conference on Digital Signal Processing, Santorini, Greece, 05/07/2009 . https://doi.org/10.1109/ICDSP.2009.5201111
Gaussian Mixture Model (GMM)-based vector quantization of Line Spectral Frequencies (LSFs) has gained wide acceptance in speech coding. In predictive coding of LSFs, the GMM approach utilizing Kalman filtering principles to account for quantization n
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::718cc1ce2fb3ad4dc051743eef17fed0
https://doi.org/10.1109/icdsp.2009.5201111
https://doi.org/10.1109/icdsp.2009.5201111
Publikováno v:
Subasingha, S, Murthi, M N & Andersen, S V 2009, On GMM Kalman predictive coding of LSFS for packet loss . in IEEE International Conference on Acoustics, Speech and Signal Processing, 2009. ICASSP 2009 . IEEE, International Conference on Acoustics Speech and Signal Processing (ICASSP), pp. 4105-4108, IEEE International Conference on Acoustics, Speech and Signal Processing, 2009. ICASSP 2009, Taipei, Taiwan, Province of China, 24/04/2008 . https://doi.org/10.1109/ICASSP.2009.4960531
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::15474584d3ae1c332333d2421d086d68
https://vbn.aau.dk/da/publications/736d2ed0-05bc-11df-9046-000ea68e967b
https://vbn.aau.dk/da/publications/736d2ed0-05bc-11df-9046-000ea68e967b
Publikováno v:
GLOBECOM
Præstholm, S, Schwefel, H-P & Andersen, S V 2007, Packet Voice Rate Adaptation through Perceptual Frame Discarding . in Proceedings of the 50th IEEE Global Telecommunications Conference (GLOBECOM 2007) . IEEE Press, pp. 2497-2502, IEEE Global Telecommunications Conference (GLOBECOM 2007), Washington, D.C., United States, 26/11/2007 . https://doi.org/10.1109/GLOCOM.2007.475
Præstholm, S, Schwefel, H-P & Andersen, S V 2007, Packet Voice Rate Adaptation through Perceptual Frame Discarding . in Proceedings of the 50th IEEE Global Telecommunications Conference (GLOBECOM 2007) . IEEE Press, pp. 2497-2502, IEEE Global Telecommunications Conference (GLOBECOM 2007), Washington, D.C., United States, 26/11/2007 . https://doi.org/10.1109/GLOCOM.2007.475
We address the problem of rate adaptation at the source, given a congested packet based voice carrying network. We propose and analyze a novel method for perceptually based frame discarding. Thus, we propose a perceptually based classifier (PBC) to d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3d3d30c5a00f1341e56eec83176fe229
https://doi.org/10.1109/glocom.2007.475
https://doi.org/10.1109/glocom.2007.475