Conference Information
SPML 2021: International Conference on Signal Processing and Machine Learning
Submission Date:
2021-06-20 Extended
Notification Date:
Conference Date:
Beijing, China
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Call For Papers
The conference will bring together leading researchers, engineers and scientists in the domain of interest from around the world. Topics of interest for submission include, but are not limited to:

Adaptive Filtering & Signal Processing
Ad-Hoc and Sensor Networks
Analog and Mixed Signal Processing
Array Signal Processing
Audio and Electroacoustics
Audio/Speech Processing and Coding
Bioimaging and Signal Processing
Biometrics & Authentification
Biosignal Processing & Understanding
Communication and Broadband Networks
Communication Signal processing
Computer Vision & Virtual Reality
Cryptography and Network Security
Design and Implementation of Signal Processing Systems
Digital Signal Processing
DSP Implementations and Embedded Systems
Emerging Technologies
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
Machine Learning for Signal Processing
Modulation and Channel Coding
Multimedia & Human-computer Interaction
Multimedia Communications
Multimedia Signal Processing
Natural Language Processing
Next Generation Mobile Communications
Nonlinear Signal Processing
Optical Communications
Parallel and Distributed Processing
PDE for Image 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
Machine learning methods
Learning and adaptive control
Learning/adaption of recognition and perception
Learning for Handwriting Recognition
Learning in Image Pre-Processing and Segmentation
Learning in process automation
Learning of appropriate behaviour
Learning of action patterns
Learning robots
Mining Images in Computer Vision
Mining Images and Texture
Mining Motion from Sequence
Neural Methods
Network Analysis and Intrusion Detection
Feature extractions
Support vector machines (SVM)
Least-squares SVM (LS-SVM)
Extreme learning machine (ELM)
Artificial neural network (ANN)
Classification techniques
Kernel design
Last updated by Dunn Carl in 2021-05-21
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Related Journals
CCFFull NameImpact FactorPublisherISSN
cIET Computer Vision1.087IET1350-245X
Journal of Universal Computer Science0.546Verlag der Technischen Universitat Graz0948-695x
cSignal Processing: Image Communication3.256Elsevier0923-5965
Foundations and Trends in Machine LearningNow Publishers Inc.1935-8237
IEEE Transactions on Signal Processing5.230IEEE1053-587X
Statistical Methodology Elsevier1572-3127
Signal & Image Processing : An International Journal AIRCC2229-3922
Journal of Signal Processing Systems0.551Springer1939-8018
bMachine Learning2.940Springer0885-6125
cImage and Vision Computing3.860Elsevier0262-8856
Full NameImpact FactorPublisher
IET Computer Vision1.087IET
Journal of Universal Computer Science0.546Verlag der Technischen Universitat Graz
Signal Processing: Image Communication3.256Elsevier
Foundations and Trends in Machine LearningNow Publishers Inc.
IEEE Transactions on Signal Processing5.230IEEE
Statistical Methodology Elsevier
Signal & Image Processing : An International Journal AIRCC
Journal of Signal Processing Systems0.551Springer
Machine Learning2.940Springer
Image and Vision Computing3.860Elsevier