Bigdata 2016 - Symposium on Signal Processing of Big Data
Topics/Call fo Papers
Signal processing is becoming a central discipline in the study and analysis of big data, with the emergence of datasets having volume, variety, velocity and veracity in countless applications and industries. This symposium aims to bring together researchers and experts in the field of signal and information processing for improving future big data systems.
Submissions are welcome on topics including:
Computational models and representations for big data Big data acquisition, storage, retrieval, interpretation Learning and inference with big dataSP Methods for Big Data Analytics
Submissions are welcome on topics including:
Computational models and representations for big data Big data acquisition, storage, retrieval, interpretation Learning and inference with big dataSP Methods for Big Data Analytics
Other CFPs
- Symposium on Signal Processing for Understanding Crowd Dynamics
- Symposium on Big Data Analysis and Challenges in Neuro-Imaging
- Symposium on Information Theoretic Approaches to Security and Privacy
- Symposium on (Industrial) Emerging Signal Processing Applications
- 2016 IEEE Symposium on Machine Learning for Characterization of Cognitive Communications and Radar
Last modified: 2016-03-29 23:29:18