★2019 International Workshop on Signal Processing and Machine Learning (WSPML 2019)-- Ei Compendex & Scopus—Call for papers |December 12-14, 2019|Bangkok, Thailand|Website: http://www.wspml.org/ ★WSPML 2019 presents researchers, engineers, and academics with an unprecedented opportunity to associate and interact with some of the foremost experts in the field of Signal Processing and Machine Learning from around the globe. WSPML 2019 aims to be the must-visit conference of the year for the field, and will be the ideal forum for the exchange of ideas and innovations that promise to change the face of the industry. For researchers, an engineers, or industry professionals, this conference could mark an important point in your career. ★Publication and Indexing All accepted papers will be published in the digital conference proceedings which will send to be indexed by all major citation databases such as Ei Compendex, Scopus, Google Scholar, Cambridge Scientific Abstracts (CSA), Inspec, SCImago Journal & Country Rank (SJR), EBSCO, CrossRef, Thomson Reuters (WoS), etc. A selection of papers will be recommended to be published in journals. ★Keynote Speakers Dr. Lalit Garg, University of Malta, Malta, Europe ★Program Preview/ Program at a glance December 12: Conference registration + Tutorial(pending) + Icebreaker reception December 13: Invited Speech + Technical Sessions + Closing Ceremony December 14: One day Tour/ Halfday tour/Field trip ★Paper Submission 1. PDF version submit via CMT:https://cmt3.research.microsoft.com/WSPML2019 2.Submit Via email directly to: [email protected] ★CONTACT US Ms.Tiya T. Deng Email: [email protected] Website:http://www.wspml.org/ Call for papers(http://www.wspml.org/cfp.html): Adaptive Filtering & Signal Processing Ad-Hoc and Sensor Networks Analog and Mixed Signal Processing Applications (biomedical signals, biometrix, bioinformatics) Multichannel adaptive signal processing Array Signal Processing Artificial neural network (ANN) Modulation and Channel Coding Audio and Electroacoustics Natural Language Processing Mining Motion from Sequence Audio/Speech Processing and Coding Bayesian and distributed learning Bioimaging and Signal Processing Mining Images in Computer Vision Biometrics & Authentification Biosignal Processing & Understanding Multimedia Signal Processing Classification and pattern recognition Multimedia & Human-computer Interaction Classification techniques Cognitive information processing Communication and Broadband Networks Communication Signal processing Multiset data analysis Computational Intelligence Computer Vision & Virtual Reality Cryptography and Network Security Data-driven adaptive systems Data-driven models Design and Implementation of Signal Processing Systems Multimedia Communications Digital Signal Processing DSP Implementations and Embedded Systems Multimodal data fusion Emerging Technologies Extreme learning machine (ELM) Feature extractions Genomic signals and sequences Graphical models and kernel methods Hardware Implementation for Signal Processing Higher Order Spectral Analysis Image and Multidimensional Signal Processing Image Processing & Understanding Image/Video Processing and Coding Industry Technology Internet Signal Processing Kernel design Kernel methods and graphical models Learning and adaptive control Learning for Handwriting Recognition Learning in Image Pre-Processing and Segmentation Learning in process automation Learning of action patterns Learning of appropriate behaviour Learning robots Learning theory Learning/adaption of recognition and perception Least-squares SVM (LS-SVM) Machine Learning for Signal Processing Machine learning methods Mining Images and Texture Network Analysis and Intrusion Detection Neural Methods Neural networks Next Generation Mobile Communications Nonlinear signal processing Nonlinear Signal Processing Optical Communications Parallel and Distributed Processing PDE for Image Processing Perceptual signal processing Radar Signal Processing Rapid Prototyping and Tools for DSP Design RF and Wireless Communications Sensor Array and Multi-channel Processing Signal Processing and Communications Education Signal Processing for Communications Signal Processing for Security Signal Processing Theory and Methods Smart Grid, games, social networks Sparsity-aware learning Subspace/maniforld learning Support vector machines (SVM) Twin SVM (TWSVM)
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