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CfP: International Conference on Machine Intelligence and Signal Processing @ IIIT Allahabad [Sept 7-10]: Register by July 25: Expired

IIITA 300x213 1 1About

The International Conference on Machine Intelligence and Signal Processing (MISP-2019) will be held at the Indian Institute of Technology, Allahabad, India, on September 7-10, 2019.
This conference is meant for researchers all over the globe interested in the areas of data mining, artificial intelligence, optimization, machine learning methods/ algorithms, signal processing theory and methods, and applications to human brain disorders like epilepsy, Alzheimer’s, sleep disorders, etc. Other applications of machine learning and signal processing techniques are also welcome.

Themes
  • Machine Learning
  1. Feature extractions
  2. Least-squares SVM (LS-SVM)
  3. Support vector machines (SVM)
  4. Machine learning methods
  5. Twin SVM (TWSVM)
  6. Extreme learning machine (ELM)
  7. Artificial neural network (ANN)
  8. Kernel design
  9. Other areas in machine learning
  • Big Data Analytics
  1. Big Data novel theory, algorithm, and application
  2. 5 V’s of Big Data
  3. MapReduce for Big Data processing
  4. Distributed file systems for Big Data
  5. Big Data visualization
  6. Big Data mining
  7. Large data stream processing
  8. Big data applications
  9. Sensor network, social network, and big data
  10. Big Data Applications
  • Signal Processing
  1. Signal Processing Systems and Architectures
  2. Signal Processing Algorithms
  3. Time-Frequency Analysis
  4. Nonlinear Signal Processing
  5. Nonstationary Signal Processing
  6. Adaptive Signal Processing
  7. Signal Processing for Smart System
  8. Biomedical Signal Processing and Bioinformatics
  9. Sparse Signal Processing
  10. Signal Processing for IoT
  11. Coding and Compression
  12. Signal Processing for Smart Systems
  13. Signal Processing Applications
  • Computational Learning Theory
  1. Active Learning
  2. Deep Learning
  3. Incremental Learning and Online Learning
  4. Reinforcement Learning and Planning
  5. Manifold Learning and Regularization
  6. Multi-Task Learning
  7. Semi-Supervised Learning
  8. Dimensionality Reduction
  9. Probabilistic Methods
  10. Machine Learning Application
Abstact Submission

Interested candidates can submit their abstract by clicking here.

Contact

Email ID: misp@iiita.ac.in

For further details, click here.

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