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ICIP 2018

The International Conference on Image Processing (ICIP), sponsored by the IEEE Signal Processing Society, is the premier forum for the presentation of technological advances and research results in the fields of theoretical, experimental, and applied image and video processing. ICIP has been held annually since 1994, brings together leading engineers and scientists in image and video processing from around the world. Visit website.

ASSESSINGTHEIMPACTOFTHEDECEIVEDNONLOCALMEANSFILTERASA PREPROCESSINGSTAGEINACONVOLUTIONALNEURALNETWORKBASED APPROACHFORAGEESTIMATIONUSINGDIGITALHANDX-RAYIMAGES


In this work we analyze the impact of denoising, contrast and edge enhancement using the Deceived Non Local Means (DNLM) filter in a Convolutional Neural Network (CNN) based approach for age estimation using digital X-ray images from hands. The DNLM filter contains two parameters which control edge enhancement and denoising. Increasing levels were tested to assess the impact of both contrast enhancement and denoising in the CNN based model regression accuracy.

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Authors:
S. Calderon?, F. Fallas†, M. Zumbado‡, P. N. Tyrrell±, H. Stark, Z. Emersic§, B. Medeno, M. Solis+
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6 October 2018 - 8:15am
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POSTER2_ICIP2018.pdf

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[1] S. Calderon?, F. Fallas†, M. Zumbado‡, P. N. Tyrrell±, H. Stark, Z. Emersic§, B. Medeno, M. Solis+, "ASSESSINGTHEIMPACTOFTHEDECEIVEDNONLOCALMEANSFILTERASA PREPROCESSINGSTAGEINACONVOLUTIONALNEURALNETWORKBASED APPROACHFORAGEESTIMATIONUSINGDIGITALHANDX-RAYIMAGES", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3573. Accessed: Dec. 10, 2018.
@article{3573-18,
url = {http://sigport.org/3573},
author = {S. Calderon?; F. Fallas†; M. Zumbado‡; P. N. Tyrrell±; H. Stark; Z. Emersic§; B. Medeno; M. Solis+ },
publisher = {IEEE SigPort},
title = {ASSESSINGTHEIMPACTOFTHEDECEIVEDNONLOCALMEANSFILTERASA PREPROCESSINGSTAGEINACONVOLUTIONALNEURALNETWORKBASED APPROACHFORAGEESTIMATIONUSINGDIGITALHANDX-RAYIMAGES},
year = {2018} }
TY - EJOUR
T1 - ASSESSINGTHEIMPACTOFTHEDECEIVEDNONLOCALMEANSFILTERASA PREPROCESSINGSTAGEINACONVOLUTIONALNEURALNETWORKBASED APPROACHFORAGEESTIMATIONUSINGDIGITALHANDX-RAYIMAGES
AU - S. Calderon?; F. Fallas†; M. Zumbado‡; P. N. Tyrrell±; H. Stark; Z. Emersic§; B. Medeno; M. Solis+
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3573
ER -
S. Calderon?, F. Fallas†, M. Zumbado‡, P. N. Tyrrell±, H. Stark, Z. Emersic§, B. Medeno, M. Solis+. (2018). ASSESSINGTHEIMPACTOFTHEDECEIVEDNONLOCALMEANSFILTERASA PREPROCESSINGSTAGEINACONVOLUTIONALNEURALNETWORKBASED APPROACHFORAGEESTIMATIONUSINGDIGITALHANDX-RAYIMAGES. IEEE SigPort. http://sigport.org/3573
S. Calderon?, F. Fallas†, M. Zumbado‡, P. N. Tyrrell±, H. Stark, Z. Emersic§, B. Medeno, M. Solis+, 2018. ASSESSINGTHEIMPACTOFTHEDECEIVEDNONLOCALMEANSFILTERASA PREPROCESSINGSTAGEINACONVOLUTIONALNEURALNETWORKBASED APPROACHFORAGEESTIMATIONUSINGDIGITALHANDX-RAYIMAGES. Available at: http://sigport.org/3573.
S. Calderon?, F. Fallas†, M. Zumbado‡, P. N. Tyrrell±, H. Stark, Z. Emersic§, B. Medeno, M. Solis+. (2018). "ASSESSINGTHEIMPACTOFTHEDECEIVEDNONLOCALMEANSFILTERASA PREPROCESSINGSTAGEINACONVOLUTIONALNEURALNETWORKBASED APPROACHFORAGEESTIMATIONUSINGDIGITALHANDX-RAYIMAGES." Web.
1. S. Calderon?, F. Fallas†, M. Zumbado‡, P. N. Tyrrell±, H. Stark, Z. Emersic§, B. Medeno, M. Solis+. ASSESSINGTHEIMPACTOFTHEDECEIVEDNONLOCALMEANSFILTERASA PREPROCESSINGSTAGEINACONVOLUTIONALNEURALNETWORKBASED APPROACHFORAGEESTIMATIONUSINGDIGITALHANDX-RAYIMAGES [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3573

VISUALIZING NETWORK CONNECTIVITY IN PARKINSON’S DISEASE


Numerous recent papers have demonstrated the utility of graph theoretical analysis in conjunction with sparse inverse covariance estimation (SICE) in understanding the modulation of brain connectivity associated with neuropathology. These concepts may complement established knowledge of functional covariance obtained using principal component analysis (PCA) that can reduce whole data representations of brain data to essential disease specific patterns.

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Authors:
Phoebe G. Spetsieris, Vijay Dhawan, David Eidelberg
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7 October 2018 - 11:56pm
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SSM-PCA / SICE-GLASSO PD SUBNETWORK VISUALIZATION

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[1] Phoebe G. Spetsieris, Vijay Dhawan, David Eidelberg, "VISUALIZING NETWORK CONNECTIVITY IN PARKINSON’S DISEASE", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3571. Accessed: Dec. 10, 2018.
@article{3571-18,
url = {http://sigport.org/3571},
author = {Phoebe G. Spetsieris; Vijay Dhawan; David Eidelberg },
publisher = {IEEE SigPort},
title = {VISUALIZING NETWORK CONNECTIVITY IN PARKINSON’S DISEASE},
year = {2018} }
TY - EJOUR
T1 - VISUALIZING NETWORK CONNECTIVITY IN PARKINSON’S DISEASE
AU - Phoebe G. Spetsieris; Vijay Dhawan; David Eidelberg
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3571
ER -
Phoebe G. Spetsieris, Vijay Dhawan, David Eidelberg. (2018). VISUALIZING NETWORK CONNECTIVITY IN PARKINSON’S DISEASE. IEEE SigPort. http://sigport.org/3571
Phoebe G. Spetsieris, Vijay Dhawan, David Eidelberg, 2018. VISUALIZING NETWORK CONNECTIVITY IN PARKINSON’S DISEASE. Available at: http://sigport.org/3571.
Phoebe G. Spetsieris, Vijay Dhawan, David Eidelberg. (2018). "VISUALIZING NETWORK CONNECTIVITY IN PARKINSON’S DISEASE." Web.
1. Phoebe G. Spetsieris, Vijay Dhawan, David Eidelberg. VISUALIZING NETWORK CONNECTIVITY IN PARKINSON’S DISEASE [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3571

Parallel Mean Shift Accuracy and Performance Trade-Offs

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Authors:
Kirsty Duncan, Robert Stewart, Greg Michaelson
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6 October 2018 - 5:15am
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Parallel_Mean_Shift_Accuracy_and_Performance_Trade-Offs.pdf

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[1] Kirsty Duncan, Robert Stewart, Greg Michaelson, "Parallel Mean Shift Accuracy and Performance Trade-Offs", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3570. Accessed: Dec. 10, 2018.
@article{3570-18,
url = {http://sigport.org/3570},
author = {Kirsty Duncan; Robert Stewart; Greg Michaelson },
publisher = {IEEE SigPort},
title = {Parallel Mean Shift Accuracy and Performance Trade-Offs},
year = {2018} }
TY - EJOUR
T1 - Parallel Mean Shift Accuracy and Performance Trade-Offs
AU - Kirsty Duncan; Robert Stewart; Greg Michaelson
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3570
ER -
Kirsty Duncan, Robert Stewart, Greg Michaelson. (2018). Parallel Mean Shift Accuracy and Performance Trade-Offs. IEEE SigPort. http://sigport.org/3570
Kirsty Duncan, Robert Stewart, Greg Michaelson, 2018. Parallel Mean Shift Accuracy and Performance Trade-Offs. Available at: http://sigport.org/3570.
Kirsty Duncan, Robert Stewart, Greg Michaelson. (2018). "Parallel Mean Shift Accuracy and Performance Trade-Offs." Web.
1. Kirsty Duncan, Robert Stewart, Greg Michaelson. Parallel Mean Shift Accuracy and Performance Trade-Offs [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3570

Making Third Person Techniques Recognize First-Person Actions in Egocentric Videos


We focus on first-person action recognition from egocentric videos. Unlike third person domain, researchers have divided first-person actions into two categories: involving hand-object interactions and the ones without, and developed separate techniques for the two action categories. Further, it has been argued that traditional cues used for third person action recognition do not suffice, and egocentric specific features, such as head motion and handled objects have been used for such actions.

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Authors:
Pravin Nagar, Divam Gupta, Chetan Arora
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6 October 2018 - 4:37am
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Unified approach of recognizing multiple first-person action categories.

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[1] Pravin Nagar, Divam Gupta, Chetan Arora, "Making Third Person Techniques Recognize First-Person Actions in Egocentric Videos", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3569. Accessed: Dec. 10, 2018.
@article{3569-18,
url = {http://sigport.org/3569},
author = {Pravin Nagar; Divam Gupta; Chetan Arora },
publisher = {IEEE SigPort},
title = {Making Third Person Techniques Recognize First-Person Actions in Egocentric Videos},
year = {2018} }
TY - EJOUR
T1 - Making Third Person Techniques Recognize First-Person Actions in Egocentric Videos
AU - Pravin Nagar; Divam Gupta; Chetan Arora
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3569
ER -
Pravin Nagar, Divam Gupta, Chetan Arora. (2018). Making Third Person Techniques Recognize First-Person Actions in Egocentric Videos. IEEE SigPort. http://sigport.org/3569
Pravin Nagar, Divam Gupta, Chetan Arora, 2018. Making Third Person Techniques Recognize First-Person Actions in Egocentric Videos. Available at: http://sigport.org/3569.
Pravin Nagar, Divam Gupta, Chetan Arora. (2018). "Making Third Person Techniques Recognize First-Person Actions in Egocentric Videos." Web.
1. Pravin Nagar, Divam Gupta, Chetan Arora. Making Third Person Techniques Recognize First-Person Actions in Egocentric Videos [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3569

PYRAMID POOLING OF CONVOLTIONAL FEATURE MAPS FOR IMAGE RETRIEVAL


We propose a novel method for content-based image retrieval based on the features extracted from the convolutional layers of the deep neural network architecture. Some of the popular approaches form the feature vectors from the fully connected layers of the convolutional neural networks or directly concatenate the features from the convolutional layers. However, the main problem with the use of feature vectors from fully connected layers is that the spatial information about the objects is lost. This motivated us to use the features from the convolutional layer.

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Authors:
Abin Jose, Ricard Durall Lopez, Iris Heisterklaus, Mathias Wien
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6 October 2018 - 3:41am
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ICIP-Presentation.pdf

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[1] Abin Jose, Ricard Durall Lopez, Iris Heisterklaus, Mathias Wien, "PYRAMID POOLING OF CONVOLTIONAL FEATURE MAPS FOR IMAGE RETRIEVAL", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3568. Accessed: Dec. 10, 2018.
@article{3568-18,
url = {http://sigport.org/3568},
author = {Abin Jose; Ricard Durall Lopez; Iris Heisterklaus; Mathias Wien },
publisher = {IEEE SigPort},
title = {PYRAMID POOLING OF CONVOLTIONAL FEATURE MAPS FOR IMAGE RETRIEVAL},
year = {2018} }
TY - EJOUR
T1 - PYRAMID POOLING OF CONVOLTIONAL FEATURE MAPS FOR IMAGE RETRIEVAL
AU - Abin Jose; Ricard Durall Lopez; Iris Heisterklaus; Mathias Wien
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3568
ER -
Abin Jose, Ricard Durall Lopez, Iris Heisterklaus, Mathias Wien. (2018). PYRAMID POOLING OF CONVOLTIONAL FEATURE MAPS FOR IMAGE RETRIEVAL. IEEE SigPort. http://sigport.org/3568
Abin Jose, Ricard Durall Lopez, Iris Heisterklaus, Mathias Wien, 2018. PYRAMID POOLING OF CONVOLTIONAL FEATURE MAPS FOR IMAGE RETRIEVAL. Available at: http://sigport.org/3568.
Abin Jose, Ricard Durall Lopez, Iris Heisterklaus, Mathias Wien. (2018). "PYRAMID POOLING OF CONVOLTIONAL FEATURE MAPS FOR IMAGE RETRIEVAL." Web.
1. Abin Jose, Ricard Durall Lopez, Iris Heisterklaus, Mathias Wien. PYRAMID POOLING OF CONVOLTIONAL FEATURE MAPS FOR IMAGE RETRIEVAL [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3568

HADAMARD CODED DISCRETE CROSS MODAL HASHING


Cross-modal retrieval is a hot topic in the fields of machine learning and media retrieval, making it possible to relate different types of media, such as image, text, and audio. A powerful method for the cross-modal retrieval, discrete cross-modal hashing (DCH), has recently been proposed. The DCH can encode different types of media feature vectors to binary codes. When stored in a database, the binary code makes searches efficient because the Hamming distance between the corresponding sections of two binary codes can be computed via a specialized CPU operation.

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Authors:
Koichi Eto, Gou Koutaki, Keiichiro Shirai
Submitted On:
6 October 2018 - 3:36am
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ICIPposter.pdf

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[1] Koichi Eto, Gou Koutaki, Keiichiro Shirai, "HADAMARD CODED DISCRETE CROSS MODAL HASHING", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3567. Accessed: Dec. 10, 2018.
@article{3567-18,
url = {http://sigport.org/3567},
author = {Koichi Eto; Gou Koutaki; Keiichiro Shirai },
publisher = {IEEE SigPort},
title = {HADAMARD CODED DISCRETE CROSS MODAL HASHING},
year = {2018} }
TY - EJOUR
T1 - HADAMARD CODED DISCRETE CROSS MODAL HASHING
AU - Koichi Eto; Gou Koutaki; Keiichiro Shirai
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3567
ER -
Koichi Eto, Gou Koutaki, Keiichiro Shirai. (2018). HADAMARD CODED DISCRETE CROSS MODAL HASHING. IEEE SigPort. http://sigport.org/3567
Koichi Eto, Gou Koutaki, Keiichiro Shirai, 2018. HADAMARD CODED DISCRETE CROSS MODAL HASHING. Available at: http://sigport.org/3567.
Koichi Eto, Gou Koutaki, Keiichiro Shirai. (2018). "HADAMARD CODED DISCRETE CROSS MODAL HASHING." Web.
1. Koichi Eto, Gou Koutaki, Keiichiro Shirai. HADAMARD CODED DISCRETE CROSS MODAL HASHING [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3567

CONFIDENCE ANALYSIS FOR BREAST MASS IMAGE CLASSIFICATION


Computer-aided diagnosis (CAD) has great potential in providing real benefits to doctors and patients. Recent studies have, however, found lack of trust in CAD by radiologists in clinical diagnostic decision making. One of the main reasons is the lack of an appropriate confidence measure. This paper presents the first-ever study of classification confidence in the context of breast mass classification.

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Authors:
Andrik Rampun, Hui Wang, Bryan Scotney, Philip Morrow, Reyer Zwiggelaar
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6 October 2018 - 3:12am
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Paper 1991: Confidence Analysis for Breast Mass Image Classification

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[1] Andrik Rampun, Hui Wang, Bryan Scotney, Philip Morrow, Reyer Zwiggelaar, "CONFIDENCE ANALYSIS FOR BREAST MASS IMAGE CLASSIFICATION", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3566. Accessed: Dec. 10, 2018.
@article{3566-18,
url = {http://sigport.org/3566},
author = {Andrik Rampun; Hui Wang; Bryan Scotney; Philip Morrow; Reyer Zwiggelaar },
publisher = {IEEE SigPort},
title = {CONFIDENCE ANALYSIS FOR BREAST MASS IMAGE CLASSIFICATION},
year = {2018} }
TY - EJOUR
T1 - CONFIDENCE ANALYSIS FOR BREAST MASS IMAGE CLASSIFICATION
AU - Andrik Rampun; Hui Wang; Bryan Scotney; Philip Morrow; Reyer Zwiggelaar
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3566
ER -
Andrik Rampun, Hui Wang, Bryan Scotney, Philip Morrow, Reyer Zwiggelaar. (2018). CONFIDENCE ANALYSIS FOR BREAST MASS IMAGE CLASSIFICATION. IEEE SigPort. http://sigport.org/3566
Andrik Rampun, Hui Wang, Bryan Scotney, Philip Morrow, Reyer Zwiggelaar, 2018. CONFIDENCE ANALYSIS FOR BREAST MASS IMAGE CLASSIFICATION. Available at: http://sigport.org/3566.
Andrik Rampun, Hui Wang, Bryan Scotney, Philip Morrow, Reyer Zwiggelaar. (2018). "CONFIDENCE ANALYSIS FOR BREAST MASS IMAGE CLASSIFICATION." Web.
1. Andrik Rampun, Hui Wang, Bryan Scotney, Philip Morrow, Reyer Zwiggelaar. CONFIDENCE ANALYSIS FOR BREAST MASS IMAGE CLASSIFICATION [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3566

BLIND IMAGE QUALITY ASSESSMENT WITH A PROBABILISTIC QUALITY REPRESENTATION

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Authors:
Hui Zeng, Alan C. Bovik
Submitted On:
6 October 2018 - 2:42am
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PQR_ICIP.pdf

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[1] Hui Zeng, Alan C. Bovik, "BLIND IMAGE QUALITY ASSESSMENT WITH A PROBABILISTIC QUALITY REPRESENTATION", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3565. Accessed: Dec. 10, 2018.
@article{3565-18,
url = {http://sigport.org/3565},
author = {Hui Zeng; Alan C. Bovik },
publisher = {IEEE SigPort},
title = {BLIND IMAGE QUALITY ASSESSMENT WITH A PROBABILISTIC QUALITY REPRESENTATION},
year = {2018} }
TY - EJOUR
T1 - BLIND IMAGE QUALITY ASSESSMENT WITH A PROBABILISTIC QUALITY REPRESENTATION
AU - Hui Zeng; Alan C. Bovik
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3565
ER -
Hui Zeng, Alan C. Bovik. (2018). BLIND IMAGE QUALITY ASSESSMENT WITH A PROBABILISTIC QUALITY REPRESENTATION. IEEE SigPort. http://sigport.org/3565
Hui Zeng, Alan C. Bovik, 2018. BLIND IMAGE QUALITY ASSESSMENT WITH A PROBABILISTIC QUALITY REPRESENTATION. Available at: http://sigport.org/3565.
Hui Zeng, Alan C. Bovik. (2018). "BLIND IMAGE QUALITY ASSESSMENT WITH A PROBABILISTIC QUALITY REPRESENTATION." Web.
1. Hui Zeng, Alan C. Bovik. BLIND IMAGE QUALITY ASSESSMENT WITH A PROBABILISTIC QUALITY REPRESENTATION [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3565

DEEP IMAGE COMPRESSION WITH ITERATIVE NON-UNIFORM QUANTIZATION

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Authors:
Jianrui Cai
Submitted On:
6 October 2018 - 2:40am
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Presentation_ICIP_CJR.pdf

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[1] Jianrui Cai, "DEEP IMAGE COMPRESSION WITH ITERATIVE NON-UNIFORM QUANTIZATION", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3564. Accessed: Dec. 10, 2018.
@article{3564-18,
url = {http://sigport.org/3564},
author = {Jianrui Cai },
publisher = {IEEE SigPort},
title = {DEEP IMAGE COMPRESSION WITH ITERATIVE NON-UNIFORM QUANTIZATION},
year = {2018} }
TY - EJOUR
T1 - DEEP IMAGE COMPRESSION WITH ITERATIVE NON-UNIFORM QUANTIZATION
AU - Jianrui Cai
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3564
ER -
Jianrui Cai. (2018). DEEP IMAGE COMPRESSION WITH ITERATIVE NON-UNIFORM QUANTIZATION. IEEE SigPort. http://sigport.org/3564
Jianrui Cai, 2018. DEEP IMAGE COMPRESSION WITH ITERATIVE NON-UNIFORM QUANTIZATION. Available at: http://sigport.org/3564.
Jianrui Cai. (2018). "DEEP IMAGE COMPRESSION WITH ITERATIVE NON-UNIFORM QUANTIZATION." Web.
1. Jianrui Cai. DEEP IMAGE COMPRESSION WITH ITERATIVE NON-UNIFORM QUANTIZATION [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3564

Discriminative Autoencoder

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Authors:
Dipti Prasad Mukherjee
Submitted On:
6 October 2018 - 2:35am
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Poster ICIP Final.pdf

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[1] Dipti Prasad Mukherjee, "Discriminative Autoencoder", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3563. Accessed: Dec. 10, 2018.
@article{3563-18,
url = {http://sigport.org/3563},
author = {Dipti Prasad Mukherjee },
publisher = {IEEE SigPort},
title = {Discriminative Autoencoder},
year = {2018} }
TY - EJOUR
T1 - Discriminative Autoencoder
AU - Dipti Prasad Mukherjee
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3563
ER -
Dipti Prasad Mukherjee. (2018). Discriminative Autoencoder. IEEE SigPort. http://sigport.org/3563
Dipti Prasad Mukherjee, 2018. Discriminative Autoencoder. Available at: http://sigport.org/3563.
Dipti Prasad Mukherjee. (2018). "Discriminative Autoencoder." Web.
1. Dipti Prasad Mukherjee. Discriminative Autoencoder [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3563

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