Sorry, you need to enable JavaScript to visit this website.

Machine Learning for Signal Processing

AN INTERACTIVE CONTENT-BASED 3D SHAPE RETRIEVAL SYSTEM FOR ON-SITE CULTURAL HERITAGE ANALYSIS


In this paper, we analyse the process of designing a Content-
Based 3D shape Retrieval (CB3DR) adapted for non-experts.
Our CB3DR solution aims at scanning an object on the fly
with a low-cost 3D sensor and retrieve similar shapes from
a database using the 3D point cloud acquired. Our system
should meet the requirements of archaeologists who would
like to be able to acquire artefacts without prior expertise in
scanning, then query easily from the field knowledge bases
for Cultural Heritage, and thus retrieve artefacts (i.e. objects

Icip2018.pptx

File Icip2018.pptx (25 downloads)

Paper Details

Authors:
Lirone Samoun, Thomas Fisichella, Diane Lingrand, Lucas Malleus, Frederic Precioso
Submitted On:
12 October 2018 - 5:10am
Short Link:
Type:
Event:
Presenter's Name:
Paper Code:
Document Year:
Cite

Document Files

Icip2018.pptx

(25 downloads)

Subscribe

[1] Lirone Samoun, Thomas Fisichella, Diane Lingrand, Lucas Malleus, Frederic Precioso, "AN INTERACTIVE CONTENT-BASED 3D SHAPE RETRIEVAL SYSTEM FOR ON-SITE CULTURAL HERITAGE ANALYSIS", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3595. Accessed: Dec. 10, 2018.
@article{3595-18,
url = {http://sigport.org/3595},
author = {Lirone Samoun; Thomas Fisichella; Diane Lingrand; Lucas Malleus; Frederic Precioso },
publisher = {IEEE SigPort},
title = {AN INTERACTIVE CONTENT-BASED 3D SHAPE RETRIEVAL SYSTEM FOR ON-SITE CULTURAL HERITAGE ANALYSIS},
year = {2018} }
TY - EJOUR
T1 - AN INTERACTIVE CONTENT-BASED 3D SHAPE RETRIEVAL SYSTEM FOR ON-SITE CULTURAL HERITAGE ANALYSIS
AU - Lirone Samoun; Thomas Fisichella; Diane Lingrand; Lucas Malleus; Frederic Precioso
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3595
ER -
Lirone Samoun, Thomas Fisichella, Diane Lingrand, Lucas Malleus, Frederic Precioso. (2018). AN INTERACTIVE CONTENT-BASED 3D SHAPE RETRIEVAL SYSTEM FOR ON-SITE CULTURAL HERITAGE ANALYSIS. IEEE SigPort. http://sigport.org/3595
Lirone Samoun, Thomas Fisichella, Diane Lingrand, Lucas Malleus, Frederic Precioso, 2018. AN INTERACTIVE CONTENT-BASED 3D SHAPE RETRIEVAL SYSTEM FOR ON-SITE CULTURAL HERITAGE ANALYSIS. Available at: http://sigport.org/3595.
Lirone Samoun, Thomas Fisichella, Diane Lingrand, Lucas Malleus, Frederic Precioso. (2018). "AN INTERACTIVE CONTENT-BASED 3D SHAPE RETRIEVAL SYSTEM FOR ON-SITE CULTURAL HERITAGE ANALYSIS." Web.
1. Lirone Samoun, Thomas Fisichella, Diane Lingrand, Lucas Malleus, Frederic Precioso. AN INTERACTIVE CONTENT-BASED 3D SHAPE RETRIEVAL SYSTEM FOR ON-SITE CULTURAL HERITAGE ANALYSIS [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3595

BOTTOM-UP ATTENTION GUIDANCE FOR RECURRENT IMAGE RECOGNITION

Paper Details

Authors:
Hamed R. Tavakoli, Ali Borji, Rao M. Anwer, Esa Rahtu, Juho Kannala
Submitted On:
5 October 2018 - 4:04am
Short Link:
Type:
Event:
Paper Code:

Document Files

ICIP.pdf

(42 downloads)

Subscribe

[1] Hamed R. Tavakoli, Ali Borji, Rao M. Anwer, Esa Rahtu, Juho Kannala, "BOTTOM-UP ATTENTION GUIDANCE FOR RECURRENT IMAGE RECOGNITION", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3517. Accessed: Dec. 10, 2018.
@article{3517-18,
url = {http://sigport.org/3517},
author = {Hamed R. Tavakoli; Ali Borji; Rao M. Anwer; Esa Rahtu; Juho Kannala },
publisher = {IEEE SigPort},
title = {BOTTOM-UP ATTENTION GUIDANCE FOR RECURRENT IMAGE RECOGNITION},
year = {2018} }
TY - EJOUR
T1 - BOTTOM-UP ATTENTION GUIDANCE FOR RECURRENT IMAGE RECOGNITION
AU - Hamed R. Tavakoli; Ali Borji; Rao M. Anwer; Esa Rahtu; Juho Kannala
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3517
ER -
Hamed R. Tavakoli, Ali Borji, Rao M. Anwer, Esa Rahtu, Juho Kannala. (2018). BOTTOM-UP ATTENTION GUIDANCE FOR RECURRENT IMAGE RECOGNITION. IEEE SigPort. http://sigport.org/3517
Hamed R. Tavakoli, Ali Borji, Rao M. Anwer, Esa Rahtu, Juho Kannala, 2018. BOTTOM-UP ATTENTION GUIDANCE FOR RECURRENT IMAGE RECOGNITION. Available at: http://sigport.org/3517.
Hamed R. Tavakoli, Ali Borji, Rao M. Anwer, Esa Rahtu, Juho Kannala. (2018). "BOTTOM-UP ATTENTION GUIDANCE FOR RECURRENT IMAGE RECOGNITION." Web.
1. Hamed R. Tavakoli, Ali Borji, Rao M. Anwer, Esa Rahtu, Juho Kannala. BOTTOM-UP ATTENTION GUIDANCE FOR RECURRENT IMAGE RECOGNITION [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3517

GRADIENT BASED EVOLUTION TO OPTIMIZE THE STRUCTURE OF CONVOLUTIONAL NEURAL NETWORKS

Paper Details

Authors:
Submitted On:
4 October 2018 - 9:27am
Short Link:
Type:
Event:
Presenter's Name:
Paper Code:
Document Year:
Cite

Document Files

bsp-poster_cmyk.pdf

(30 downloads)

Subscribe

[1] , "GRADIENT BASED EVOLUTION TO OPTIMIZE THE STRUCTURE OF CONVOLUTIONAL NEURAL NETWORKS", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3401. Accessed: Dec. 10, 2018.
@article{3401-18,
url = {http://sigport.org/3401},
author = { },
publisher = {IEEE SigPort},
title = {GRADIENT BASED EVOLUTION TO OPTIMIZE THE STRUCTURE OF CONVOLUTIONAL NEURAL NETWORKS},
year = {2018} }
TY - EJOUR
T1 - GRADIENT BASED EVOLUTION TO OPTIMIZE THE STRUCTURE OF CONVOLUTIONAL NEURAL NETWORKS
AU -
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3401
ER -
. (2018). GRADIENT BASED EVOLUTION TO OPTIMIZE THE STRUCTURE OF CONVOLUTIONAL NEURAL NETWORKS. IEEE SigPort. http://sigport.org/3401
, 2018. GRADIENT BASED EVOLUTION TO OPTIMIZE THE STRUCTURE OF CONVOLUTIONAL NEURAL NETWORKS. Available at: http://sigport.org/3401.
. (2018). "GRADIENT BASED EVOLUTION TO OPTIMIZE THE STRUCTURE OF CONVOLUTIONAL NEURAL NETWORKS." Web.
1. . GRADIENT BASED EVOLUTION TO OPTIMIZE THE STRUCTURE OF CONVOLUTIONAL NEURAL NETWORKS [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3401

Mobile App User Choice Engineering using Behavioral Science Models


When interacting with mobile apps, users need to take decisions and make certain choices out of a set of alternative ones offered by the app. We introduce optimization problems through which we engineer the choices presented to users so that they are nudged towards decisions that lead to better outcomes for them and for the app platform. User decision-making rules are modeled by using principles from behavioral science and machine learning.

Paper Details

Authors:
Merkourios Karaliopoulos, Iordanis Koutsopoulos
Submitted On:
22 June 2018 - 8:16am
Short Link:
Type:
Event:
Presenter's Name:
Paper Code:
Document Year:
Cite

Document Files

Poster

(96 downloads)

Subscribe

[1] Merkourios Karaliopoulos, Iordanis Koutsopoulos, "Mobile App User Choice Engineering using Behavioral Science Models", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3291. Accessed: Dec. 10, 2018.
@article{3291-18,
url = {http://sigport.org/3291},
author = {Merkourios Karaliopoulos; Iordanis Koutsopoulos },
publisher = {IEEE SigPort},
title = {Mobile App User Choice Engineering using Behavioral Science Models},
year = {2018} }
TY - EJOUR
T1 - Mobile App User Choice Engineering using Behavioral Science Models
AU - Merkourios Karaliopoulos; Iordanis Koutsopoulos
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3291
ER -
Merkourios Karaliopoulos, Iordanis Koutsopoulos. (2018). Mobile App User Choice Engineering using Behavioral Science Models. IEEE SigPort. http://sigport.org/3291
Merkourios Karaliopoulos, Iordanis Koutsopoulos, 2018. Mobile App User Choice Engineering using Behavioral Science Models. Available at: http://sigport.org/3291.
Merkourios Karaliopoulos, Iordanis Koutsopoulos. (2018). "Mobile App User Choice Engineering using Behavioral Science Models." Web.
1. Merkourios Karaliopoulos, Iordanis Koutsopoulos. Mobile App User Choice Engineering using Behavioral Science Models [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3291

Communication efficient coreset sampling for distributed learning


In this paper, distributed learning is studied using the approach of coreset. In the context of classification, an algorithm of coreset construction is proposed to reduce the redundancy of data and thus the communication requirement, similarly to source coding in traditional data communications. It is shown that the coreset based boosting has a high convergence rate and small sample complexity. Moreover, it is robust to adversary distribution, thus leading to potential applications in distributed learning systems.

poster_v.pdf

PDF icon poster_v.pdf (65 downloads)

Paper Details

Authors:
Yawen Fan, Husheng Li
Submitted On:
20 June 2018 - 9:57am
Short Link:
Type:
Event:
Presenter's Name:
Document Year:
Cite

Document Files

poster_v.pdf

(65 downloads)

Subscribe

[1] Yawen Fan, Husheng Li, "Communication efficient coreset sampling for distributed learning", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3258. Accessed: Dec. 10, 2018.
@article{3258-18,
url = {http://sigport.org/3258},
author = {Yawen Fan; Husheng Li },
publisher = {IEEE SigPort},
title = {Communication efficient coreset sampling for distributed learning},
year = {2018} }
TY - EJOUR
T1 - Communication efficient coreset sampling for distributed learning
AU - Yawen Fan; Husheng Li
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3258
ER -
Yawen Fan, Husheng Li. (2018). Communication efficient coreset sampling for distributed learning. IEEE SigPort. http://sigport.org/3258
Yawen Fan, Husheng Li, 2018. Communication efficient coreset sampling for distributed learning. Available at: http://sigport.org/3258.
Yawen Fan, Husheng Li. (2018). "Communication efficient coreset sampling for distributed learning." Web.
1. Yawen Fan, Husheng Li. Communication efficient coreset sampling for distributed learning [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3258

Improved LDA Classifier based on Spiked Models

Paper Details

Authors:
Houssem Sifaou , Abla Kammoun and Mohamed-Slim Alouini
Submitted On:
20 June 2018 - 9:36am
Short Link:
Type:
Event:
Presenter's Name:
Paper Code:
Document Year:
Cite

Document Files

poster.pdf

(110 downloads)

Subscribe

[1] Houssem Sifaou , Abla Kammoun and Mohamed-Slim Alouini, "Improved LDA Classifier based on Spiked Models", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3255. Accessed: Dec. 10, 2018.
@article{3255-18,
url = {http://sigport.org/3255},
author = {Houssem Sifaou ; Abla Kammoun and Mohamed-Slim Alouini },
publisher = {IEEE SigPort},
title = {Improved LDA Classifier based on Spiked Models},
year = {2018} }
TY - EJOUR
T1 - Improved LDA Classifier based on Spiked Models
AU - Houssem Sifaou ; Abla Kammoun and Mohamed-Slim Alouini
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3255
ER -
Houssem Sifaou , Abla Kammoun and Mohamed-Slim Alouini. (2018). Improved LDA Classifier based on Spiked Models. IEEE SigPort. http://sigport.org/3255
Houssem Sifaou , Abla Kammoun and Mohamed-Slim Alouini, 2018. Improved LDA Classifier based on Spiked Models. Available at: http://sigport.org/3255.
Houssem Sifaou , Abla Kammoun and Mohamed-Slim Alouini. (2018). "Improved LDA Classifier based on Spiked Models." Web.
1. Houssem Sifaou , Abla Kammoun and Mohamed-Slim Alouini. Improved LDA Classifier based on Spiked Models [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3255

Alternating autoencoders for matrix completion


We consider autoencoders (AEs) for matrix completion (MC) with application to collaborative filtering (CF) for recommedation systems. It is observed that for a given sparse user-item rating matrix, denoted asM, an AE performs matrix factorization so that the recovered matrix is represented as a product of user and item feature matrices.

Paper Details

Authors:
Kiwon Lee, Yong H. Lee, Changho Suh
Submitted On:
4 June 2018 - 2:48pm
Short Link:
Type:
Event:
Presenter's Name:
Document Year:
Cite

Document Files

Poster_Lee.pdf

(83 downloads)

Subscribe

[1] Kiwon Lee, Yong H. Lee, Changho Suh, "Alternating autoencoders for matrix completion", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3223. Accessed: Dec. 10, 2018.
@article{3223-18,
url = {http://sigport.org/3223},
author = {Kiwon Lee; Yong H. Lee; Changho Suh },
publisher = {IEEE SigPort},
title = {Alternating autoencoders for matrix completion},
year = {2018} }
TY - EJOUR
T1 - Alternating autoencoders for matrix completion
AU - Kiwon Lee; Yong H. Lee; Changho Suh
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3223
ER -
Kiwon Lee, Yong H. Lee, Changho Suh. (2018). Alternating autoencoders for matrix completion. IEEE SigPort. http://sigport.org/3223
Kiwon Lee, Yong H. Lee, Changho Suh, 2018. Alternating autoencoders for matrix completion. Available at: http://sigport.org/3223.
Kiwon Lee, Yong H. Lee, Changho Suh. (2018). "Alternating autoencoders for matrix completion." Web.
1. Kiwon Lee, Yong H. Lee, Changho Suh. Alternating autoencoders for matrix completion [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3223

Discriminative Clustering with Cardinality Constraints


Clustering is widely used for exploratory data analysis in a variety of applications. Traditionally clustering is studied as an unsupervised task where no human inputs are provided. A recent trend in clustering is to leverage user provided side information to better infer the clustering structure in data. In this paper, we propose a probabilistic graphical model that allows user to provide as input the desired cluster sizes, namely the cardinality constraints. Our model also incorporates a flexible mechanism to inject control of the crispness of the clusters.

Paper Details

Authors:
Anh T. Pham, Raviv Raich, and Xiaoli Z. Fern
Submitted On:
25 April 2018 - 2:00pm
Short Link:
Type:
Event:
Presenter's Name:
Paper Code:
Document Year:
Cite

Document Files

Discriminative Clustering with Cardinality Constraint_ICASSP2018_latest.pdf

(110 downloads)

Subscribe

[1] Anh T. Pham, Raviv Raich, and Xiaoli Z. Fern, "Discriminative Clustering with Cardinality Constraints", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3181. Accessed: Dec. 10, 2018.
@article{3181-18,
url = {http://sigport.org/3181},
author = {Anh T. Pham; Raviv Raich; and Xiaoli Z. Fern },
publisher = {IEEE SigPort},
title = {Discriminative Clustering with Cardinality Constraints},
year = {2018} }
TY - EJOUR
T1 - Discriminative Clustering with Cardinality Constraints
AU - Anh T. Pham; Raviv Raich; and Xiaoli Z. Fern
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3181
ER -
Anh T. Pham, Raviv Raich, and Xiaoli Z. Fern. (2018). Discriminative Clustering with Cardinality Constraints. IEEE SigPort. http://sigport.org/3181
Anh T. Pham, Raviv Raich, and Xiaoli Z. Fern, 2018. Discriminative Clustering with Cardinality Constraints. Available at: http://sigport.org/3181.
Anh T. Pham, Raviv Raich, and Xiaoli Z. Fern. (2018). "Discriminative Clustering with Cardinality Constraints." Web.
1. Anh T. Pham, Raviv Raich, and Xiaoli Z. Fern. Discriminative Clustering with Cardinality Constraints [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3181

A Constant Step Stochastic Douglas Rachford Algorithm with Application to Non Separable Regularizations

Paper Details

Authors:
Pascal Bianchi, Walid Hachem
Submitted On:
24 April 2018 - 1:14pm
Short Link:
Type:
Event:
Presenter's Name:
Paper Code:
Document Year:
Cite

Document Files

stochastic-douglas-rachford.pdf

(76 downloads)

Subscribe

[1] Pascal Bianchi, Walid Hachem, "A Constant Step Stochastic Douglas Rachford Algorithm with Application to Non Separable Regularizations", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3170. Accessed: Dec. 10, 2018.
@article{3170-18,
url = {http://sigport.org/3170},
author = {Pascal Bianchi; Walid Hachem },
publisher = {IEEE SigPort},
title = {A Constant Step Stochastic Douglas Rachford Algorithm with Application to Non Separable Regularizations},
year = {2018} }
TY - EJOUR
T1 - A Constant Step Stochastic Douglas Rachford Algorithm with Application to Non Separable Regularizations
AU - Pascal Bianchi; Walid Hachem
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3170
ER -
Pascal Bianchi, Walid Hachem. (2018). A Constant Step Stochastic Douglas Rachford Algorithm with Application to Non Separable Regularizations. IEEE SigPort. http://sigport.org/3170
Pascal Bianchi, Walid Hachem, 2018. A Constant Step Stochastic Douglas Rachford Algorithm with Application to Non Separable Regularizations. Available at: http://sigport.org/3170.
Pascal Bianchi, Walid Hachem. (2018). "A Constant Step Stochastic Douglas Rachford Algorithm with Application to Non Separable Regularizations." Web.
1. Pascal Bianchi, Walid Hachem. A Constant Step Stochastic Douglas Rachford Algorithm with Application to Non Separable Regularizations [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3170

AUTOMATIC CONFLICT DETECTION IN POLICE BODY-WORN AUDIO

Paper Details

Authors:
Alistair Letcher, Jelena Trišović, Collin Cademartori, Xi Chen, Jason Xu
Submitted On:
23 April 2018 - 8:52pm
Short Link:
Type:
Event:
Presenter's Name:
Paper Code:
Document Year:
Cite

Document Files

icassp_poster.pdf

(91 downloads)

Subscribe

[1] Alistair Letcher, Jelena Trišović, Collin Cademartori, Xi Chen, Jason Xu, "AUTOMATIC CONFLICT DETECTION IN POLICE BODY-WORN AUDIO", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3155. Accessed: Dec. 10, 2018.
@article{3155-18,
url = {http://sigport.org/3155},
author = {Alistair Letcher; Jelena Trišović; Collin Cademartori; Xi Chen; Jason Xu },
publisher = {IEEE SigPort},
title = {AUTOMATIC CONFLICT DETECTION IN POLICE BODY-WORN AUDIO},
year = {2018} }
TY - EJOUR
T1 - AUTOMATIC CONFLICT DETECTION IN POLICE BODY-WORN AUDIO
AU - Alistair Letcher; Jelena Trišović; Collin Cademartori; Xi Chen; Jason Xu
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3155
ER -
Alistair Letcher, Jelena Trišović, Collin Cademartori, Xi Chen, Jason Xu. (2018). AUTOMATIC CONFLICT DETECTION IN POLICE BODY-WORN AUDIO. IEEE SigPort. http://sigport.org/3155
Alistair Letcher, Jelena Trišović, Collin Cademartori, Xi Chen, Jason Xu, 2018. AUTOMATIC CONFLICT DETECTION IN POLICE BODY-WORN AUDIO. Available at: http://sigport.org/3155.
Alistair Letcher, Jelena Trišović, Collin Cademartori, Xi Chen, Jason Xu. (2018). "AUTOMATIC CONFLICT DETECTION IN POLICE BODY-WORN AUDIO." Web.
1. Alistair Letcher, Jelena Trišović, Collin Cademartori, Xi Chen, Jason Xu. AUTOMATIC CONFLICT DETECTION IN POLICE BODY-WORN AUDIO [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3155

Pages