ICCPRM 2017 - International Conference on Communication, Pattern Recognition and Management 2017

ICCPRM 2017 is an opportunity for academics, students, scholars, scientists and engineers from around the world who are involved in the study, management, development and implementation of systems and concepts to combat information warfare or to improve Communication, Pattern Recognition and Management to come together and exchange ideas. This conference is trying to establish itself as a key event for the understanding of threats and risks to information systems, the development of a strong security culture, and incident investigation.
Please consider submitting to this conference. We are interested in the entire range of concepts from theory to practice, including case studies, works-in-progress, and conceptual explorations.
Prospective authors are invited to submit original technical papers by the deadline for publication in the ICCPRM 2017 Conference Proceedings and for presentation(s) in the symposia listed below. Deadlines will be strictly matched and late papers will be summarily rejected. The conference welcomes papers on the following (but not limited to) research topics.
RF and Microwave Communication
Antenna and Propagation
RF, Microwave and millimeter circuit
Microwave Theory and Techniques
Modulation, Coding, and Channel Analysis
Remote Sensing and GPS
Electromagnetic and Photonics
Integrated Optics and Electro-optics Devices
Optical Electronic Devices & Photonics
Techniques of Laser and Applications Of Electro-optics
Signal Detection and Parameter Estimation
Signal, Image and Video Processing
Speech and Audio Processing
Wireless Communications
Communications Transmission
Network Communication
Mobile & Wireless networks
Satellite Communication
Computer and Intelligent Communication
Optical Communication & Networks
Wireless Sensor Networks
Network Security
Communication control and networking
Exact and Approximate Inference
Density Estimation
Bayesian Models
Gaussian Processes
Model Selection
Graphical and Graph-based Models
Missing Data
Ensemble Methods
Neural Networks
Kernel Methods
Large Margin Methods
Classification
Regression
Sparsity
Feature Selection and Extraction
Spectral Methods
Embedding and Manifold Learning
Similarity and Distance Learning
Matrix Factorization
Clustering
ICA, PCA, CCA and other Linear Models
Fuzzy Logic
Active Learning
Cost-sensitive Learning
Incremental Learning
On-line Learning
Structured Learning
Multi-agent Learning
Multi-instance Learning
Reinforcement Learning
Instance-based Learning
Knowledge Acquisition and Representation
Meta Learning
Multi-strategy Learning
Case-Based Reasoning
Inductive Learning
Computational Learning Theory
Cooperative Learning
Evolutionary Computation
Information Retrieval and Learning
Hybrid Learning Algorithms
Planning and Learning
Convex Optimization
Stochastic Methods
Combinatorial Optimization
Multiclassifier Fusion