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Pattern recognition and classification (MLR-PATT)

TWO-STAGE FACIAL AGE PREDICTION USING GROUP-SPECIFIC FEATURES


A novel two-stage age prediction approach with group-specific features is proposed in this paper. Aging process is captured through a highly discriminating feature representation that models shape, appearance, skin spots, and wrinkles. The two-stage method consists of a multi-class Support Vector Machine (SVM) to predict the age bracket while the final age prediction is carried out using Support Vector Regression (SVR). The novelty of our work is that the feature extraction is group-specific and can therefore be tailored to each age bracket in the specific age prediction step.

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Authors:
Jhony K. Pontes, Clinton Fookes, Alceu S. Britto Jr., Alessandro L. Koerich
Submitted On:
1 March 2017 - 6:07pm
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ICASSP2017.pdf

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[1] Jhony K. Pontes, Clinton Fookes, Alceu S. Britto Jr., Alessandro L. Koerich, "TWO-STAGE FACIAL AGE PREDICTION USING GROUP-SPECIFIC FEATURES", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/1564. Accessed: Jul. 22, 2019.
@article{1564-17,
url = {http://sigport.org/1564},
author = {Jhony K. Pontes; Clinton Fookes; Alceu S. Britto Jr.; Alessandro L. Koerich },
publisher = {IEEE SigPort},
title = {TWO-STAGE FACIAL AGE PREDICTION USING GROUP-SPECIFIC FEATURES},
year = {2017} }
TY - EJOUR
T1 - TWO-STAGE FACIAL AGE PREDICTION USING GROUP-SPECIFIC FEATURES
AU - Jhony K. Pontes; Clinton Fookes; Alceu S. Britto Jr.; Alessandro L. Koerich
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/1564
ER -
Jhony K. Pontes, Clinton Fookes, Alceu S. Britto Jr., Alessandro L. Koerich. (2017). TWO-STAGE FACIAL AGE PREDICTION USING GROUP-SPECIFIC FEATURES. IEEE SigPort. http://sigport.org/1564
Jhony K. Pontes, Clinton Fookes, Alceu S. Britto Jr., Alessandro L. Koerich, 2017. TWO-STAGE FACIAL AGE PREDICTION USING GROUP-SPECIFIC FEATURES. Available at: http://sigport.org/1564.
Jhony K. Pontes, Clinton Fookes, Alceu S. Britto Jr., Alessandro L. Koerich. (2017). "TWO-STAGE FACIAL AGE PREDICTION USING GROUP-SPECIFIC FEATURES." Web.
1. Jhony K. Pontes, Clinton Fookes, Alceu S. Britto Jr., Alessandro L. Koerich. TWO-STAGE FACIAL AGE PREDICTION USING GROUP-SPECIFIC FEATURES [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/1564

Through-the-Wall Radar Signal Classification using Discriminative Dictionary Learning


Through-the-wall radar imaging is an electromagnetic wave sensing technology capable of detecting targets behind walls, doors, and opaque obstacles. Identification of stationary targets is often achieved by first forming an image of the scene, and then segmenting and classifying the targets of interest. In order to provide prompt and reliable situational awareness, this paper proposes a radar signal classification approach that does not rely on image formation.

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Authors:
Abdesselam Bouzerdoum, Fok Hing Chi Tivive, and Jia Fei
Submitted On:
1 March 2017 - 4:33pm
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ICASSP2017 v2.pptx

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[1] Abdesselam Bouzerdoum, Fok Hing Chi Tivive, and Jia Fei, "Through-the-Wall Radar Signal Classification using Discriminative Dictionary Learning", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/1563. Accessed: Jul. 22, 2019.
@article{1563-17,
url = {http://sigport.org/1563},
author = {Abdesselam Bouzerdoum; Fok Hing Chi Tivive; and Jia Fei },
publisher = {IEEE SigPort},
title = {Through-the-Wall Radar Signal Classification using Discriminative Dictionary Learning},
year = {2017} }
TY - EJOUR
T1 - Through-the-Wall Radar Signal Classification using Discriminative Dictionary Learning
AU - Abdesselam Bouzerdoum; Fok Hing Chi Tivive; and Jia Fei
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/1563
ER -
Abdesselam Bouzerdoum, Fok Hing Chi Tivive, and Jia Fei. (2017). Through-the-Wall Radar Signal Classification using Discriminative Dictionary Learning. IEEE SigPort. http://sigport.org/1563
Abdesselam Bouzerdoum, Fok Hing Chi Tivive, and Jia Fei, 2017. Through-the-Wall Radar Signal Classification using Discriminative Dictionary Learning. Available at: http://sigport.org/1563.
Abdesselam Bouzerdoum, Fok Hing Chi Tivive, and Jia Fei. (2017). "Through-the-Wall Radar Signal Classification using Discriminative Dictionary Learning." Web.
1. Abdesselam Bouzerdoum, Fok Hing Chi Tivive, and Jia Fei. Through-the-Wall Radar Signal Classification using Discriminative Dictionary Learning [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/1563

FAST SPECTRAL CLUSTERING WITH EFFICIENT LARGE GRAPH CONSTRUCTION

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Authors:
Wei Zhu, Feiping Nie, Xuelong Li
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1 March 2017 - 6:05am
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poster of FSC

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[1] Wei Zhu, Feiping Nie, Xuelong Li, " FAST SPECTRAL CLUSTERING WITH EFFICIENT LARGE GRAPH CONSTRUCTION", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/1522. Accessed: Jul. 22, 2019.
@article{1522-17,
url = {http://sigport.org/1522},
author = {Wei Zhu; Feiping Nie; Xuelong Li },
publisher = {IEEE SigPort},
title = { FAST SPECTRAL CLUSTERING WITH EFFICIENT LARGE GRAPH CONSTRUCTION},
year = {2017} }
TY - EJOUR
T1 - FAST SPECTRAL CLUSTERING WITH EFFICIENT LARGE GRAPH CONSTRUCTION
AU - Wei Zhu; Feiping Nie; Xuelong Li
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/1522
ER -
Wei Zhu, Feiping Nie, Xuelong Li. (2017). FAST SPECTRAL CLUSTERING WITH EFFICIENT LARGE GRAPH CONSTRUCTION. IEEE SigPort. http://sigport.org/1522
Wei Zhu, Feiping Nie, Xuelong Li, 2017. FAST SPECTRAL CLUSTERING WITH EFFICIENT LARGE GRAPH CONSTRUCTION. Available at: http://sigport.org/1522.
Wei Zhu, Feiping Nie, Xuelong Li. (2017). " FAST SPECTRAL CLUSTERING WITH EFFICIENT LARGE GRAPH CONSTRUCTION." Web.
1. Wei Zhu, Feiping Nie, Xuelong Li. FAST SPECTRAL CLUSTERING WITH EFFICIENT LARGE GRAPH CONSTRUCTION [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/1522

Real-time Audio Classifi cation based on Mixture Models

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Authors:
Christophe Biernacki, Raphaël Greff
Submitted On:
28 February 2017 - 8:33am
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Poster of Maxime Baelde for ICASSP 2017

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[1] Christophe Biernacki, Raphaël Greff, "Real-time Audio Classifi cation based on Mixture Models", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/1510. Accessed: Jul. 22, 2019.
@article{1510-17,
url = {http://sigport.org/1510},
author = {Christophe Biernacki; Raphaël Greff },
publisher = {IEEE SigPort},
title = {Real-time Audio Classifi cation based on Mixture Models},
year = {2017} }
TY - EJOUR
T1 - Real-time Audio Classifi cation based on Mixture Models
AU - Christophe Biernacki; Raphaël Greff
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/1510
ER -
Christophe Biernacki, Raphaël Greff. (2017). Real-time Audio Classifi cation based on Mixture Models. IEEE SigPort. http://sigport.org/1510
Christophe Biernacki, Raphaël Greff, 2017. Real-time Audio Classifi cation based on Mixture Models. Available at: http://sigport.org/1510.
Christophe Biernacki, Raphaël Greff. (2017). "Real-time Audio Classifi cation based on Mixture Models." Web.
1. Christophe Biernacki, Raphaël Greff. Real-time Audio Classifi cation based on Mixture Models [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/1510

A ROBUST APPLICATION DETECTOR FOR INTELLIGENT WIRELESS COLLABORATION


We present an approach for detecting application level protocols over a wireless communications link, without the need for demodulation or decryption. Our detector is suitable for diverse radio types, since only simple external signal features are used as inputs. We show that the Profile Hidden Markov Model (PHMM) is well suited to this task, due to the probabilistic nature of the wireless channel and the discrete nature of application level traffic. We include results evaluating the detection performance for two application protocols in 802.11 in the presence of background traffic.

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Authors:
Kevin Pietsch, Sean Mason
Submitted On:
8 December 2016 - 1:03pm
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Presentation Slides

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[1] Kevin Pietsch, Sean Mason, "A ROBUST APPLICATION DETECTOR FOR INTELLIGENT WIRELESS COLLABORATION", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/1422. Accessed: Jul. 22, 2019.
@article{1422-16,
url = {http://sigport.org/1422},
author = {Kevin Pietsch; Sean Mason },
publisher = {IEEE SigPort},
title = {A ROBUST APPLICATION DETECTOR FOR INTELLIGENT WIRELESS COLLABORATION},
year = {2016} }
TY - EJOUR
T1 - A ROBUST APPLICATION DETECTOR FOR INTELLIGENT WIRELESS COLLABORATION
AU - Kevin Pietsch; Sean Mason
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/1422
ER -
Kevin Pietsch, Sean Mason. (2016). A ROBUST APPLICATION DETECTOR FOR INTELLIGENT WIRELESS COLLABORATION. IEEE SigPort. http://sigport.org/1422
Kevin Pietsch, Sean Mason, 2016. A ROBUST APPLICATION DETECTOR FOR INTELLIGENT WIRELESS COLLABORATION. Available at: http://sigport.org/1422.
Kevin Pietsch, Sean Mason. (2016). "A ROBUST APPLICATION DETECTOR FOR INTELLIGENT WIRELESS COLLABORATION." Web.
1. Kevin Pietsch, Sean Mason. A ROBUST APPLICATION DETECTOR FOR INTELLIGENT WIRELESS COLLABORATION [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/1422

Multilayer Spectral Graph Clustering via Convex Layer Aggregation


Multilayer graphs are commonly used for representing different relations between entities and handling heterogeneous data processing tasks. New challenges arise in multilayer graph clustering for assigning clusters to a common multilayer node set and for combining information from each layer. This paper presents a theoretical framework for multilayer spectral graph clustering of the nodes via convex layer aggregation.

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Authors:
Pin-Yu Chen, Alfred Hero
Submitted On:
7 December 2016 - 10:03pm
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GlobalSIP_slides

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[1] Pin-Yu Chen, Alfred Hero, "Multilayer Spectral Graph Clustering via Convex Layer Aggregation", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/1418. Accessed: Jul. 22, 2019.
@article{1418-16,
url = {http://sigport.org/1418},
author = {Pin-Yu Chen; Alfred Hero },
publisher = {IEEE SigPort},
title = {Multilayer Spectral Graph Clustering via Convex Layer Aggregation},
year = {2016} }
TY - EJOUR
T1 - Multilayer Spectral Graph Clustering via Convex Layer Aggregation
AU - Pin-Yu Chen; Alfred Hero
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/1418
ER -
Pin-Yu Chen, Alfred Hero. (2016). Multilayer Spectral Graph Clustering via Convex Layer Aggregation. IEEE SigPort. http://sigport.org/1418
Pin-Yu Chen, Alfred Hero, 2016. Multilayer Spectral Graph Clustering via Convex Layer Aggregation. Available at: http://sigport.org/1418.
Pin-Yu Chen, Alfred Hero. (2016). "Multilayer Spectral Graph Clustering via Convex Layer Aggregation." Web.
1. Pin-Yu Chen, Alfred Hero. Multilayer Spectral Graph Clustering via Convex Layer Aggregation [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/1418

Out-of-label Suppression Dictionary Learning with Cluster Regularization


This paper addresses the problem of learning a discriminative dictionary from training signals. Given a structured dictionary, each atom of which has its corresponding label, one signal should be mainly constructed by its closely associated atoms. Besides the representations for the same class ought to be very close to form a cluster. Thus we present out-of-label suppression dictionary model with cluster regularization to amplify the discriminative power. Upon out-of-label suppression, we don't adopt $l_0$-norm or $l_1$-norm for regularization.

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Authors:
Xiudong Wang, Yuantao Gu
Submitted On:
6 December 2016 - 11:06am
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Poster

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[1] Xiudong Wang, Yuantao Gu, "Out-of-label Suppression Dictionary Learning with Cluster Regularization", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/1361. Accessed: Jul. 22, 2019.
@article{1361-16,
url = {http://sigport.org/1361},
author = {Xiudong Wang; Yuantao Gu },
publisher = {IEEE SigPort},
title = {Out-of-label Suppression Dictionary Learning with Cluster Regularization},
year = {2016} }
TY - EJOUR
T1 - Out-of-label Suppression Dictionary Learning with Cluster Regularization
AU - Xiudong Wang; Yuantao Gu
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/1361
ER -
Xiudong Wang, Yuantao Gu. (2016). Out-of-label Suppression Dictionary Learning with Cluster Regularization. IEEE SigPort. http://sigport.org/1361
Xiudong Wang, Yuantao Gu, 2016. Out-of-label Suppression Dictionary Learning with Cluster Regularization. Available at: http://sigport.org/1361.
Xiudong Wang, Yuantao Gu. (2016). "Out-of-label Suppression Dictionary Learning with Cluster Regularization." Web.
1. Xiudong Wang, Yuantao Gu. Out-of-label Suppression Dictionary Learning with Cluster Regularization [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/1361

A Randomized Approach to Efficient Kernel Clustering

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5 December 2016 - 7:29pm
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[1] , "A Randomized Approach to Efficient Kernel Clustering", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/1354. Accessed: Jul. 22, 2019.
@article{1354-16,
url = {http://sigport.org/1354},
author = { },
publisher = {IEEE SigPort},
title = {A Randomized Approach to Efficient Kernel Clustering},
year = {2016} }
TY - EJOUR
T1 - A Randomized Approach to Efficient Kernel Clustering
AU -
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/1354
ER -
. (2016). A Randomized Approach to Efficient Kernel Clustering. IEEE SigPort. http://sigport.org/1354
, 2016. A Randomized Approach to Efficient Kernel Clustering. Available at: http://sigport.org/1354.
. (2016). "A Randomized Approach to Efficient Kernel Clustering." Web.
1. . A Randomized Approach to Efficient Kernel Clustering [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/1354

Micro hand gesture recognition system using ultrasonic active sensing method


We define micro hand gesture recognition system as which uses micro dynamic hand gestures within a time interval for classification and recognition to achieve human-machine interaction. Our Project Hug (Hand-Ultrasonic-Gesture), with ultrasonic active sensing, pulsed radar signal processing, and time-sequence pattern recognition is presented in this paper for micro hand gesture recognition. We leverage one single channel to detect both range and velocity precisely, reducing the hardware complexity.

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Authors:
Quan Wang, Yimin Liu
Submitted On:
31 July 2016 - 1:24pm
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[1] Quan Wang, Yimin Liu, "Micro hand gesture recognition system using ultrasonic active sensing method", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/1139. Accessed: Jul. 22, 2019.
@article{1139-16,
url = {http://sigport.org/1139},
author = {Quan Wang; Yimin Liu },
publisher = {IEEE SigPort},
title = {Micro hand gesture recognition system using ultrasonic active sensing method},
year = {2016} }
TY - EJOUR
T1 - Micro hand gesture recognition system using ultrasonic active sensing method
AU - Quan Wang; Yimin Liu
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/1139
ER -
Quan Wang, Yimin Liu. (2016). Micro hand gesture recognition system using ultrasonic active sensing method. IEEE SigPort. http://sigport.org/1139
Quan Wang, Yimin Liu, 2016. Micro hand gesture recognition system using ultrasonic active sensing method. Available at: http://sigport.org/1139.
Quan Wang, Yimin Liu. (2016). "Micro hand gesture recognition system using ultrasonic active sensing method." Web.
1. Quan Wang, Yimin Liu. Micro hand gesture recognition system using ultrasonic active sensing method [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/1139

IEEE Signal Processing Cup 2016 - Team Ravan


This report describes a method which is implemented for the IEEE signal Processing Cup 2016, that is to extract power signatures from a given media signal and identify where the signal was recorded in order to be used for forensic applications.
The primary task of this project was to design a system which can identify the captured location of a given multimedia sample based on the Electrical network frequency signals (ENF) signal embedded in it.

Paper Details

Authors:
Dr. K.C.B. Wavegedara, D.L Dampahalage, M.P Pathegama, H.A.S.P Gunasekara, A.D.N De Zoysa, D.D.M De Soysa, P.T.N Mahesha
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21 August 2017 - 5:01am
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Team_Ravan.pdf

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[1] Dr. K.C.B. Wavegedara, D.L Dampahalage, M.P Pathegama, H.A.S.P Gunasekara, A.D.N De Zoysa, D.D.M De Soysa, P.T.N Mahesha, "IEEE Signal Processing Cup 2016 - Team Ravan", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/1125. Accessed: Jul. 22, 2019.
@article{1125-16,
url = {http://sigport.org/1125},
author = {Dr. K.C.B. Wavegedara; D.L Dampahalage; M.P Pathegama; H.A.S.P Gunasekara; A.D.N De Zoysa; D.D.M De Soysa; P.T.N Mahesha },
publisher = {IEEE SigPort},
title = {IEEE Signal Processing Cup 2016 - Team Ravan},
year = {2016} }
TY - EJOUR
T1 - IEEE Signal Processing Cup 2016 - Team Ravan
AU - Dr. K.C.B. Wavegedara; D.L Dampahalage; M.P Pathegama; H.A.S.P Gunasekara; A.D.N De Zoysa; D.D.M De Soysa; P.T.N Mahesha
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/1125
ER -
Dr. K.C.B. Wavegedara, D.L Dampahalage, M.P Pathegama, H.A.S.P Gunasekara, A.D.N De Zoysa, D.D.M De Soysa, P.T.N Mahesha. (2016). IEEE Signal Processing Cup 2016 - Team Ravan. IEEE SigPort. http://sigport.org/1125
Dr. K.C.B. Wavegedara, D.L Dampahalage, M.P Pathegama, H.A.S.P Gunasekara, A.D.N De Zoysa, D.D.M De Soysa, P.T.N Mahesha, 2016. IEEE Signal Processing Cup 2016 - Team Ravan. Available at: http://sigport.org/1125.
Dr. K.C.B. Wavegedara, D.L Dampahalage, M.P Pathegama, H.A.S.P Gunasekara, A.D.N De Zoysa, D.D.M De Soysa, P.T.N Mahesha. (2016). "IEEE Signal Processing Cup 2016 - Team Ravan." Web.
1. Dr. K.C.B. Wavegedara, D.L Dampahalage, M.P Pathegama, H.A.S.P Gunasekara, A.D.N De Zoysa, D.D.M De Soysa, P.T.N Mahesha. IEEE Signal Processing Cup 2016 - Team Ravan [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/1125

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