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ICASSP 2018

ICASSP is the world's largest and most comprehensive technical conference on signal processing and its applications. It provides a fantastic networking opportunity for like-minded professionals from around the world. ICASSP 2018 conference will feature world-class presentations by internationally renowned speakers and cutting-edge session topics. Visit ICASSP 2018.

SINGLE CHANNEL SPEECH SEPARATION WITH CONSTRAINED UTTERANCE LEVEL PERMUTATION INVARIANT TRAINING USING GRID LSTM


Utterance level permutation invariant training (uPIT) tech- nique is a state-of-the-art deep learning architecture for speaker independent multi-talker separation. uPIT solves the label ambiguity problem by minimizing the mean square error (MSE) over all permutations between outputs and tar- gets. However, uPIT may be sub-optimal at segmental level because the optimization is not calculated over the individual frames. In this paper, we propose a constrained uPIT (cu- PIT) to solve this problem by computing a weighted MSE loss using dynamic information (i.e., delta and acceleration).

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Authors:
CHENGLIN XU, WEI RAO, XIONG XIAO, ENG SIONG CHNG, HAIZHOU LI
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20 April 2018 - 12:38am
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ICASSP2018_1844.pdf

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[1] CHENGLIN XU, WEI RAO, XIONG XIAO, ENG SIONG CHNG, HAIZHOU LI, "SINGLE CHANNEL SPEECH SEPARATION WITH CONSTRAINED UTTERANCE LEVEL PERMUTATION INVARIANT TRAINING USING GRID LSTM", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3068. Accessed: Apr. 21, 2018.
@article{3068-18,
url = {http://sigport.org/3068},
author = {CHENGLIN XU; WEI RAO; XIONG XIAO; ENG SIONG CHNG; HAIZHOU LI },
publisher = {IEEE SigPort},
title = {SINGLE CHANNEL SPEECH SEPARATION WITH CONSTRAINED UTTERANCE LEVEL PERMUTATION INVARIANT TRAINING USING GRID LSTM},
year = {2018} }
TY - EJOUR
T1 - SINGLE CHANNEL SPEECH SEPARATION WITH CONSTRAINED UTTERANCE LEVEL PERMUTATION INVARIANT TRAINING USING GRID LSTM
AU - CHENGLIN XU; WEI RAO; XIONG XIAO; ENG SIONG CHNG; HAIZHOU LI
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3068
ER -
CHENGLIN XU, WEI RAO, XIONG XIAO, ENG SIONG CHNG, HAIZHOU LI. (2018). SINGLE CHANNEL SPEECH SEPARATION WITH CONSTRAINED UTTERANCE LEVEL PERMUTATION INVARIANT TRAINING USING GRID LSTM. IEEE SigPort. http://sigport.org/3068
CHENGLIN XU, WEI RAO, XIONG XIAO, ENG SIONG CHNG, HAIZHOU LI, 2018. SINGLE CHANNEL SPEECH SEPARATION WITH CONSTRAINED UTTERANCE LEVEL PERMUTATION INVARIANT TRAINING USING GRID LSTM. Available at: http://sigport.org/3068.
CHENGLIN XU, WEI RAO, XIONG XIAO, ENG SIONG CHNG, HAIZHOU LI. (2018). "SINGLE CHANNEL SPEECH SEPARATION WITH CONSTRAINED UTTERANCE LEVEL PERMUTATION INVARIANT TRAINING USING GRID LSTM." Web.
1. CHENGLIN XU, WEI RAO, XIONG XIAO, ENG SIONG CHNG, HAIZHOU LI. SINGLE CHANNEL SPEECH SEPARATION WITH CONSTRAINED UTTERANCE LEVEL PERMUTATION INVARIANT TRAINING USING GRID LSTM [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3068

On the Supermodularity of Active Graph-based Semi-supervised Learning with Stieltjes Matrix Regularization


Active graph-based semi-supervised learning (AG-SSL) aims to select a small set of labeled examples and utilize their graph-based relation to other unlabeled examples to aid in machine learning tasks. It is also closely related to the sampling theory in graph signal processing. In this paper, we revisit the original formulation of graph-based SSL and prove the supermodularity of an AG-SSL objective function under a broad class of regularization functions parameterized by Stieltjes matrices.

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Authors:
Pin-Yu Chen, Dennis Wei
Submitted On:
20 April 2018 - 12:31am
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[1] Pin-Yu Chen, Dennis Wei, "On the Supermodularity of Active Graph-based Semi-supervised Learning with Stieltjes Matrix Regularization", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3067. Accessed: Apr. 21, 2018.
@article{3067-18,
url = {http://sigport.org/3067},
author = {Pin-Yu Chen; Dennis Wei },
publisher = {IEEE SigPort},
title = {On the Supermodularity of Active Graph-based Semi-supervised Learning with Stieltjes Matrix Regularization},
year = {2018} }
TY - EJOUR
T1 - On the Supermodularity of Active Graph-based Semi-supervised Learning with Stieltjes Matrix Regularization
AU - Pin-Yu Chen; Dennis Wei
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3067
ER -
Pin-Yu Chen, Dennis Wei. (2018). On the Supermodularity of Active Graph-based Semi-supervised Learning with Stieltjes Matrix Regularization. IEEE SigPort. http://sigport.org/3067
Pin-Yu Chen, Dennis Wei, 2018. On the Supermodularity of Active Graph-based Semi-supervised Learning with Stieltjes Matrix Regularization. Available at: http://sigport.org/3067.
Pin-Yu Chen, Dennis Wei. (2018). "On the Supermodularity of Active Graph-based Semi-supervised Learning with Stieltjes Matrix Regularization." Web.
1. Pin-Yu Chen, Dennis Wei. On the Supermodularity of Active Graph-based Semi-supervised Learning with Stieltjes Matrix Regularization [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3067

Semidefinite Programming for TDOA Localization with Locally Synchronized Anchor Nodes


The most state-of-art time-difference-of-arrival (TDOA) localization algorithms are performed under the assumption that all the nodes are synchronized. However, for a widely distributed wireless sensor networks (WSNs), time synchronization between all the nodes is not a trival problem. In this paper, we study the problem of source localization using signal TDOA measurements in the system of nodes part synchronization. Starting from the maximum likelihood estimator (MLE), we develop a semidefinite programming (SDP) approach.

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Authors:
Yanbin Zou, Qun Wan, and Huaping Liu,
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20 April 2018 - 12:20am
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Yanbin Zou Poster for ICASSP 2018

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[1] Yanbin Zou, Qun Wan, and Huaping Liu, , "Semidefinite Programming for TDOA Localization with Locally Synchronized Anchor Nodes", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3066. Accessed: Apr. 21, 2018.
@article{3066-18,
url = {http://sigport.org/3066},
author = {Yanbin Zou; Qun Wan; and Huaping Liu; },
publisher = {IEEE SigPort},
title = {Semidefinite Programming for TDOA Localization with Locally Synchronized Anchor Nodes},
year = {2018} }
TY - EJOUR
T1 - Semidefinite Programming for TDOA Localization with Locally Synchronized Anchor Nodes
AU - Yanbin Zou; Qun Wan; and Huaping Liu;
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3066
ER -
Yanbin Zou, Qun Wan, and Huaping Liu, . (2018). Semidefinite Programming for TDOA Localization with Locally Synchronized Anchor Nodes. IEEE SigPort. http://sigport.org/3066
Yanbin Zou, Qun Wan, and Huaping Liu, , 2018. Semidefinite Programming for TDOA Localization with Locally Synchronized Anchor Nodes. Available at: http://sigport.org/3066.
Yanbin Zou, Qun Wan, and Huaping Liu, . (2018). "Semidefinite Programming for TDOA Localization with Locally Synchronized Anchor Nodes." Web.
1. Yanbin Zou, Qun Wan, and Huaping Liu, . Semidefinite Programming for TDOA Localization with Locally Synchronized Anchor Nodes [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3066

Blind Image Deblurring via Reweighted Graph Total Variation

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Authors:
Yuanchao Bai, Gene Cheung, Xianming Liu, Wen Gao
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19 April 2018 - 11:59pm
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ICASSP2018_2.pdf

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[1] Yuanchao Bai, Gene Cheung, Xianming Liu, Wen Gao, "Blind Image Deblurring via Reweighted Graph Total Variation ", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3065. Accessed: Apr. 21, 2018.
@article{3065-18,
url = {http://sigport.org/3065},
author = {Yuanchao Bai; Gene Cheung; Xianming Liu; Wen Gao },
publisher = {IEEE SigPort},
title = {Blind Image Deblurring via Reweighted Graph Total Variation },
year = {2018} }
TY - EJOUR
T1 - Blind Image Deblurring via Reweighted Graph Total Variation
AU - Yuanchao Bai; Gene Cheung; Xianming Liu; Wen Gao
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3065
ER -
Yuanchao Bai, Gene Cheung, Xianming Liu, Wen Gao. (2018). Blind Image Deblurring via Reweighted Graph Total Variation . IEEE SigPort. http://sigport.org/3065
Yuanchao Bai, Gene Cheung, Xianming Liu, Wen Gao, 2018. Blind Image Deblurring via Reweighted Graph Total Variation . Available at: http://sigport.org/3065.
Yuanchao Bai, Gene Cheung, Xianming Liu, Wen Gao. (2018). "Blind Image Deblurring via Reweighted Graph Total Variation ." Web.
1. Yuanchao Bai, Gene Cheung, Xianming Liu, Wen Gao. Blind Image Deblurring via Reweighted Graph Total Variation [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3065

NEURAL NETWORK LANGUAGE MODELING WITH LETTER-BASED FEATURES AND IMPORTANCE SAMPLING


In this paper we describe an extension of the Kaldi software toolkit to support neural-based language modeling, intended for use in automatic speech recognition (ASR) and related tasks. We combine the use of subword features (letter ngrams) and one-hot encoding of frequent words so that the models can handle large vocabularies containing infrequent words. We propose a new objective function that allows for training of unnormalized probabilities. An importance sampling based method is supported to speed up training when the vocabulary is large.

Paper Details

Authors:
Hainan Xu, Ke Li, Yiming Wang, Jian Wang, Shiyin Kang, Xie Chen, Daniel Povey, Sanjeev Khudanpur
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19 April 2018 - 11:52pm
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kaldi-rnnlm-poster.pdf

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[1] Hainan Xu, Ke Li, Yiming Wang, Jian Wang, Shiyin Kang, Xie Chen, Daniel Povey, Sanjeev Khudanpur, "NEURAL NETWORK LANGUAGE MODELING WITH LETTER-BASED FEATURES AND IMPORTANCE SAMPLING", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3064. Accessed: Apr. 21, 2018.
@article{3064-18,
url = {http://sigport.org/3064},
author = {Hainan Xu; Ke Li; Yiming Wang; Jian Wang; Shiyin Kang; Xie Chen; Daniel Povey; Sanjeev Khudanpur },
publisher = {IEEE SigPort},
title = {NEURAL NETWORK LANGUAGE MODELING WITH LETTER-BASED FEATURES AND IMPORTANCE SAMPLING},
year = {2018} }
TY - EJOUR
T1 - NEURAL NETWORK LANGUAGE MODELING WITH LETTER-BASED FEATURES AND IMPORTANCE SAMPLING
AU - Hainan Xu; Ke Li; Yiming Wang; Jian Wang; Shiyin Kang; Xie Chen; Daniel Povey; Sanjeev Khudanpur
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3064
ER -
Hainan Xu, Ke Li, Yiming Wang, Jian Wang, Shiyin Kang, Xie Chen, Daniel Povey, Sanjeev Khudanpur. (2018). NEURAL NETWORK LANGUAGE MODELING WITH LETTER-BASED FEATURES AND IMPORTANCE SAMPLING. IEEE SigPort. http://sigport.org/3064
Hainan Xu, Ke Li, Yiming Wang, Jian Wang, Shiyin Kang, Xie Chen, Daniel Povey, Sanjeev Khudanpur, 2018. NEURAL NETWORK LANGUAGE MODELING WITH LETTER-BASED FEATURES AND IMPORTANCE SAMPLING. Available at: http://sigport.org/3064.
Hainan Xu, Ke Li, Yiming Wang, Jian Wang, Shiyin Kang, Xie Chen, Daniel Povey, Sanjeev Khudanpur. (2018). "NEURAL NETWORK LANGUAGE MODELING WITH LETTER-BASED FEATURES AND IMPORTANCE SAMPLING." Web.
1. Hainan Xu, Ke Li, Yiming Wang, Jian Wang, Shiyin Kang, Xie Chen, Daniel Povey, Sanjeev Khudanpur. NEURAL NETWORK LANGUAGE MODELING WITH LETTER-BASED FEATURES AND IMPORTANCE SAMPLING [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3064

A Pruned RNNLM Lattice-Rescoring Algorithm for Automatic Speech Recognition


Lattice-rescoring is a common approach to take advantage of recurrent neural language models in ASR, where a wordlattice is generated from 1st-pass decoding and the lattice is then rescored with a neural model, and an n-gram approximation method is usually adopted to limit the search space. In this work, we describe a pruned lattice-rescoring algorithm for ASR, improving the n-gram approximation method. The pruned algorithm further limits the search space and uses heuristic search to pick better histories when expanding the lattice.

Paper Details

Authors:
Hainan Xu, Tongfei Chen, Dongji Gao, Yiming Wang, Ke Li, Nagendra Goel, Yishay Carmiel, Daniel Povey, Sanjeev Khudanpur
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19 April 2018 - 11:47pm
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lattice-rescoring-poster.pdf

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[1] Hainan Xu, Tongfei Chen, Dongji Gao, Yiming Wang, Ke Li, Nagendra Goel, Yishay Carmiel, Daniel Povey, Sanjeev Khudanpur, "A Pruned RNNLM Lattice-Rescoring Algorithm for Automatic Speech Recognition", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3063. Accessed: Apr. 21, 2018.
@article{3063-18,
url = {http://sigport.org/3063},
author = {Hainan Xu; Tongfei Chen; Dongji Gao; Yiming Wang; Ke Li; Nagendra Goel; Yishay Carmiel; Daniel Povey; Sanjeev Khudanpur },
publisher = {IEEE SigPort},
title = {A Pruned RNNLM Lattice-Rescoring Algorithm for Automatic Speech Recognition},
year = {2018} }
TY - EJOUR
T1 - A Pruned RNNLM Lattice-Rescoring Algorithm for Automatic Speech Recognition
AU - Hainan Xu; Tongfei Chen; Dongji Gao; Yiming Wang; Ke Li; Nagendra Goel; Yishay Carmiel; Daniel Povey; Sanjeev Khudanpur
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3063
ER -
Hainan Xu, Tongfei Chen, Dongji Gao, Yiming Wang, Ke Li, Nagendra Goel, Yishay Carmiel, Daniel Povey, Sanjeev Khudanpur. (2018). A Pruned RNNLM Lattice-Rescoring Algorithm for Automatic Speech Recognition. IEEE SigPort. http://sigport.org/3063
Hainan Xu, Tongfei Chen, Dongji Gao, Yiming Wang, Ke Li, Nagendra Goel, Yishay Carmiel, Daniel Povey, Sanjeev Khudanpur, 2018. A Pruned RNNLM Lattice-Rescoring Algorithm for Automatic Speech Recognition. Available at: http://sigport.org/3063.
Hainan Xu, Tongfei Chen, Dongji Gao, Yiming Wang, Ke Li, Nagendra Goel, Yishay Carmiel, Daniel Povey, Sanjeev Khudanpur. (2018). "A Pruned RNNLM Lattice-Rescoring Algorithm for Automatic Speech Recognition." Web.
1. Hainan Xu, Tongfei Chen, Dongji Gao, Yiming Wang, Ke Li, Nagendra Goel, Yishay Carmiel, Daniel Povey, Sanjeev Khudanpur. A Pruned RNNLM Lattice-Rescoring Algorithm for Automatic Speech Recognition [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3063

CALIBRATING CAMERAS IN POOR-CONDITIONED PITCH-BASED SPORTS GAMES

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19 April 2018 - 11:35pm
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ICASSP 2018

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[1] , "CALIBRATING CAMERAS IN POOR-CONDITIONED PITCH-BASED SPORTS GAMES", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3062. Accessed: Apr. 21, 2018.
@article{3062-18,
url = {http://sigport.org/3062},
author = { },
publisher = {IEEE SigPort},
title = {CALIBRATING CAMERAS IN POOR-CONDITIONED PITCH-BASED SPORTS GAMES},
year = {2018} }
TY - EJOUR
T1 - CALIBRATING CAMERAS IN POOR-CONDITIONED PITCH-BASED SPORTS GAMES
AU -
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3062
ER -
. (2018). CALIBRATING CAMERAS IN POOR-CONDITIONED PITCH-BASED SPORTS GAMES. IEEE SigPort. http://sigport.org/3062
, 2018. CALIBRATING CAMERAS IN POOR-CONDITIONED PITCH-BASED SPORTS GAMES. Available at: http://sigport.org/3062.
. (2018). "CALIBRATING CAMERAS IN POOR-CONDITIONED PITCH-BASED SPORTS GAMES." Web.
1. . CALIBRATING CAMERAS IN POOR-CONDITIONED PITCH-BASED SPORTS GAMES [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3062

IMAGE ALIGNMENT VIA MULTI-MODEL GEOMETRIC FIFTING AND HIERARCHICAL HOMOGRAPHY ESTIMATION

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Authors:
Yue Jiao, Jingyu Yang, Huanjing Yue, Kun Li, Chunping Hou
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19 April 2018 - 11:35pm
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the slides for image alignment

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[1] Yue Jiao, Jingyu Yang, Huanjing Yue, Kun Li, Chunping Hou, "IMAGE ALIGNMENT VIA MULTI-MODEL GEOMETRIC FIFTING AND HIERARCHICAL HOMOGRAPHY ESTIMATION", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3061. Accessed: Apr. 21, 2018.
@article{3061-18,
url = {http://sigport.org/3061},
author = {Yue Jiao; Jingyu Yang; Huanjing Yue; Kun Li; Chunping Hou },
publisher = {IEEE SigPort},
title = {IMAGE ALIGNMENT VIA MULTI-MODEL GEOMETRIC FIFTING AND HIERARCHICAL HOMOGRAPHY ESTIMATION},
year = {2018} }
TY - EJOUR
T1 - IMAGE ALIGNMENT VIA MULTI-MODEL GEOMETRIC FIFTING AND HIERARCHICAL HOMOGRAPHY ESTIMATION
AU - Yue Jiao; Jingyu Yang; Huanjing Yue; Kun Li; Chunping Hou
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3061
ER -
Yue Jiao, Jingyu Yang, Huanjing Yue, Kun Li, Chunping Hou. (2018). IMAGE ALIGNMENT VIA MULTI-MODEL GEOMETRIC FIFTING AND HIERARCHICAL HOMOGRAPHY ESTIMATION. IEEE SigPort. http://sigport.org/3061
Yue Jiao, Jingyu Yang, Huanjing Yue, Kun Li, Chunping Hou, 2018. IMAGE ALIGNMENT VIA MULTI-MODEL GEOMETRIC FIFTING AND HIERARCHICAL HOMOGRAPHY ESTIMATION. Available at: http://sigport.org/3061.
Yue Jiao, Jingyu Yang, Huanjing Yue, Kun Li, Chunping Hou. (2018). "IMAGE ALIGNMENT VIA MULTI-MODEL GEOMETRIC FIFTING AND HIERARCHICAL HOMOGRAPHY ESTIMATION." Web.
1. Yue Jiao, Jingyu Yang, Huanjing Yue, Kun Li, Chunping Hou. IMAGE ALIGNMENT VIA MULTI-MODEL GEOMETRIC FIFTING AND HIERARCHICAL HOMOGRAPHY ESTIMATION [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3061

SUBSET SELECTION FOR KERNEL-BASED SIGNAL RECONSTRUCTION


In this work, we introduce subset selection strategies for signal reconstruction based on kernel methods, particularly for the case of kernel-ridge regression. Typically, these methods are employed for exploiting known prior information about the structure of the signal of interest. We use the mean squared error and a scalar function of the covariance matrix of the kernel regressors to establish metrics for the subset selection problem. Despite the NP-hard nature of the problem, we introduce efficient algorithms for finding approximate solutions for the proposed metrics.

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Authors:
Mario Coutino, Sundeep Chepuri, Geert Leus
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19 April 2018 - 10:49pm
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ppt_icassp2018_kernel.pdf

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[1] Mario Coutino, Sundeep Chepuri, Geert Leus, "SUBSET SELECTION FOR KERNEL-BASED SIGNAL RECONSTRUCTION", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3060. Accessed: Apr. 21, 2018.
@article{3060-18,
url = {http://sigport.org/3060},
author = {Mario Coutino; Sundeep Chepuri; Geert Leus },
publisher = {IEEE SigPort},
title = {SUBSET SELECTION FOR KERNEL-BASED SIGNAL RECONSTRUCTION},
year = {2018} }
TY - EJOUR
T1 - SUBSET SELECTION FOR KERNEL-BASED SIGNAL RECONSTRUCTION
AU - Mario Coutino; Sundeep Chepuri; Geert Leus
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3060
ER -
Mario Coutino, Sundeep Chepuri, Geert Leus. (2018). SUBSET SELECTION FOR KERNEL-BASED SIGNAL RECONSTRUCTION. IEEE SigPort. http://sigport.org/3060
Mario Coutino, Sundeep Chepuri, Geert Leus, 2018. SUBSET SELECTION FOR KERNEL-BASED SIGNAL RECONSTRUCTION. Available at: http://sigport.org/3060.
Mario Coutino, Sundeep Chepuri, Geert Leus. (2018). "SUBSET SELECTION FOR KERNEL-BASED SIGNAL RECONSTRUCTION." Web.
1. Mario Coutino, Sundeep Chepuri, Geert Leus. SUBSET SELECTION FOR KERNEL-BASED SIGNAL RECONSTRUCTION [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3060

THE CHORD GAP DIVERGENCE AND A GENERALIZATION OF THE BHATTACHARYYA DISTANCE

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19 April 2018 - 10:46pm
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Slides-ChordDivergence18April2018.pdf

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[1] , "THE CHORD GAP DIVERGENCE AND A GENERALIZATION OF THE BHATTACHARYYA DISTANCE", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3059. Accessed: Apr. 21, 2018.
@article{3059-18,
url = {http://sigport.org/3059},
author = { },
publisher = {IEEE SigPort},
title = {THE CHORD GAP DIVERGENCE AND A GENERALIZATION OF THE BHATTACHARYYA DISTANCE},
year = {2018} }
TY - EJOUR
T1 - THE CHORD GAP DIVERGENCE AND A GENERALIZATION OF THE BHATTACHARYYA DISTANCE
AU -
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3059
ER -
. (2018). THE CHORD GAP DIVERGENCE AND A GENERALIZATION OF THE BHATTACHARYYA DISTANCE. IEEE SigPort. http://sigport.org/3059
, 2018. THE CHORD GAP DIVERGENCE AND A GENERALIZATION OF THE BHATTACHARYYA DISTANCE. Available at: http://sigport.org/3059.
. (2018). "THE CHORD GAP DIVERGENCE AND A GENERALIZATION OF THE BHATTACHARYYA DISTANCE." Web.
1. . THE CHORD GAP DIVERGENCE AND A GENERALIZATION OF THE BHATTACHARYYA DISTANCE [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3059

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