posted by user: rsinghiiitd || 4943 views || tracked by 17 users: [display]

4DML in Biometrics 2015 : 4D's of Machine Learning in Biometrics: Deep Learning, Dictionary Learning, Domain Adaptation, and Distance Metric Learning

FacebookTwitterLinkedInGoogle

Link: https://research.iiitd.edu.in/groups/iab/cfp_4D.html
 
When Sep 8, 2015 - Sep 8, 2015
Where USA
Submission Deadline Aug 1, 2015
Categories    machine learning   biometrics   deep learning   dictionary learning
 

Call For Papers

Call of Papers: 4D's of Machine Learning for Biometrics: Deep Learning, Dictionary Learning, Domain Adaptation, and Distance Metric Learning

1. Special Issue in IEEE Access (August 01, 2015)
2. Special Session in IEEE BTAS, 2015 (April 08, 2015)

With the availability of inexpensive biometric sensors, computing power, and memory, it is becoming increasingly clear that biometrics technology will have broader usage, and therefore also broader scope of future research in addressing newer challenges and pushing the boundaries. If we perceive biometrics as a fundamental problem in science and engineering with broad economic and scientific impact, then designing efficient algorithms and systems will require a multidisciplinary effort in signal processing, pattern recognition, machine learning, sensor design, embedded systems, and information fusion. Recent advances in machine learning have seen widespread development of algorithms in four specific areas: deep learning, dictionary learning, domain adaptation, and distance metric learning. As a consumer of these 4-D paradigms, the likelihood of exploring new avenues of research is immense. Special issue in IEEE Access and BTAS2015 special session focus on bringing together researchers and practitioners in biometrics and machine learning to showcase the progress, algorithms, and applications of deep learning, dictionary
learning, domain adaptation, and distance metric learning in biometrics. Topics include, but not necessarily limited to:

- Novel feature representation using deep learning, dictionary learning for face, fingerprint, ocular, and/or other biometric modalities

- Novel algorithms for heterogeneous biometric recognition such as (a) matching visible images to near-infrared images, (b) matching cross-resolution images, and (c) matching sketches with digital face images

- Novel algorithms for transferring knowledge from one biometric domain to another, including transfer learning and other semi-supervised learning algorithms

- Novel distance metric learning algorithms for biometrics modalities

- Applications of these paradigms in biometric systems

More details, including submission details and deadlines are available at: https://research.iiitd.edu.in/groups/iab/cfp_4D.html

Related Resources

Journal Special Issue 2019   Machine Learning on Scientific Data and Information
IWUAS 2020   2020 International Workshop on Unmanned Aircraft Systems (IWUAS 2020)
ISBDAI 2020   【Ei Compendex Scopus】2018 International Symposium on Big Data and Artificial Intelligence
ASPAI 2020   2nd International Conference on Advances in Signal Processing and Artificial Intelligence
ICMV--SPIE, Scopus, Ei Compendex 2019   SPIE--2019 The 12th International Conference on Machine Vision (ICMV 2019)--EI, Scopus and ISI
Data Science 2020   3nd Annual International Great Lakes Data Science Symposium
SDM 2020   SIAM International Conference on Data Mining
CMES_RADLMSA 2020   CMES_Recent Advances on Deep Learning for Medical Signal Analysis (IF: 0.796)
IEEE COINS 2020   Internet of Things IoT | Artificial Intelligence | Machine Learning | Big Data | Blockchain | Edge & Cloud Computing | Security | Embedded Systems | Circuit and Systems | WSN | 5G
ICAIML 2019   【EI SCOPUS CPCI】2019 1st International Conference on Artificial Intelligence and Machine Learning