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The International Conference on Machine Intelligence and Signal Processing (MISP-2019) will be held at Indian Institute of Information 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.
Indian Institute of Information Technology Allahabad (IIITA) located in Jhalwa, Allahabad, UP, India was established in 1999, as a center of excellence in Information Technology and allied areas and is an institute of national importance by the act of parliament. IIIT-A aims to evolve an integrated ambiance of creative learning, researching for novelties, contributing to the growth of knowledge, mapping the knowledge into innovations, innovations in terms of innovative products, services and also in terms of re-engineering the education process itself, devising the newer tools and sophisticating the skills at higher level.read more
Allahabad is a fascinating city with a blend of a rich cultural and historical heritage hosting a wide range of styles of the Maratha, Mughal, Holkar and British era. Chhatris, Laal Bag Palace, Kanch Mandir are cues of its architectural exellence. Triveni Sangam, the confluence of the Ganges, Yamuna and "invisible" Saraswati rivers, is considered holy by Hindus. It’s near the 16th-century Allahabad Fort, built by Mughal Emperor Akbar. In the fort are the ancient sandstone Ashoka Pillar, the underground Patalpuri Temple and a sacred banyan tree.
Feature extractions Least-squares SVM (LS-SVM) Support vector machines (SVM) Machine learning methods Twin SVM (TWSVM) Extreme learning machine (ELM) Artificial neural network (ANN) Kernel design Other areas in machine learning
Big Data novel theory, algorithm and application 5 V's of Big Data MapReduce for Big Data processing Distributed file systems for Big Data Big Data visualization Big Data mining Large data stream processing Big data applications Sensor network, social network and big data
Signal Processing Systems and Architectures Signal Processing Algorithms Time-Frequency Analysis Nonlinear Signal Processing Nonstationary Signal Processing Adaptive Signal Processing Signal Processing for Smart System Biomedical Signal Processing and Bioinformatics Sparse Signal Processing Signal Processing for IoT Coding and Compression Signal Processing for Smart Systems
Active Learning Deep Learning Incremental Learning and Online Learning Reinforcement Learning and Planning Manifold Learning and Regularization Multi-Task Learning Semi-Supervised Learning Dimensionality Reduction Probabilistic Methods Support Vector Machine Extreme Learning Machine Machine Learning Applications
Artificial neural network
Automated seizure detection
Principal component analysis