Mathematical Problems in Engineering

Advancements in Mathematical Methods for Pattern Recognition and its Applications


Publishing date
01 Dec 2018
Status
Published
Submission deadline
27 Jul 2018

1UET Taxila, Taxila, Pakistan

2University of Oxford, Oxford, UK

3Kuwait University, Kuwait City, Kuwait

4University of East London, London, UK


Advancements in Mathematical Methods for Pattern Recognition and its Applications

Description

Pattern Recognition is one of the most significant abilities in human beings and intelligent machines and part of the broader area of Artificial Intelligence (AI). Pattern recognition deals with the ability of intelligence of machines for environmental perception while other branches of AI deals with cognition (including reasoning, knowledge engineering, and language understanding). Both pattern Recognition and AI are used to design intelligent systems like the perceptron process exploiting knowledge to solve ambiguities in recognition. Therefore, a growing interest has been observed in the application of mathematical methods and tools for pattern recognition problems. These mathematical models and tools for pattern recognition are also heavily used to solve engineering problems nowadays. The scope of pattern recognition includes the statistical and structural pattern classification, Artificial Neural Networks, Kernel Methods, ensemble methods, unsupervised learning, feature extraction and selection, data preprocessing methods, applications in information retrieval, social media analysis, medical imaging, video surveillance, intelligent transportation.

The mathematical models for pattern recognition and its applications have seen tremendous growth in recent years. Moreover, advancements in neural networks and deep learning have brought improvements in many fields like image processing, decision-making, speech processing and text classification, and so on. This special issue aims at bringing together researchers, engineers, and interested pioneers from both academia and industry to report on, review, and exchange the latest progress, particularly new ideas, methods, and innovative applications of pattern recognition. We welcome papers focused on theoretical studies, practical applications, solutions to engineering problems, and experimental prototypes.

Potential topics include but are not limited to the following:

  • Mathematical methods for pattern classification
  • Deep machine learning for pattern recognition
  • Mathematical methods for feature extraction and selection
  • Pattern recognition algorithms/mathematical formulation for decision-making, predictions, and recommender systems for big data
  • Intelligent pattern recognition algorithms for Image and video detection
  • Applications in text categorization, document analysis, social media analysis, data mining, intelligent transportation, and robotics for engineering problems
  • Heuristics algorithms of pattern recognition to solve complex NP hard or soft optimization problems, for example, multiagent systems, coalition formation, and coalition structure generation in multiagent systems

Articles

  • Special Issue
  • - Volume 2019
  • - Article ID 1261398
  • - Research Article

Mixed Region Covariance Discriminative Learning for Image Classification on Riemannian Manifolds

Xi Liu | Zhengming Ma | Guo Niu
  • Special Issue
  • - Volume 2019
  • - Article ID 7390327
  • - Research Article

Hybrid Relative Attributes Based on Sparse Coding for Zero-Shot Image Classification

Nannan Lu | Yanjing Sun | Xiao Yun
  • Special Issue
  • - Volume 2019
  • - Article ID 8365932
  • - Research Article

An Adaptive Boosting Algorithm for Image Denoising

Zhuang Fang | Xuming Yi | Liming Tang
  • Special Issue
  • - Volume 2019
  • - Article ID 8906034
  • - Research Article

Two-Stage Bagging Pruning for Reducing the Ensemble Size and Improving the Classification Performance

Hua Zhang | Yujie Song | ... | Guogen Shan
  • Special Issue
  • - Volume 2019
  • - Article ID 7495436
  • - Research Article

A Novel Deep Learning Method for Obtaining Bilingual Corpus from Multilingual Website

ShaoLin Zhu | Xiao Li | ... | ChengGang Mi
  • Special Issue
  • - Volume 2018
  • - Article ID 7316954
  • - Research Article

Deep Residual Bidir-LSTM for Human Activity Recognition Using Wearable Sensors

Yu Zhao | Rennong Yang | ... | Zhenxing Zhang
  • Special Issue
  • - Volume 2018
  • - Article ID 8201509
  • - Research Article

Group Sparse Regression-Based Learning Model for Real-Time Depth-Based Human Action Prediction

Meng Li | Liang Yan | Qianying Wang
  • Special Issue
  • - Volume 2018
  • - Article ID 6931020
  • - Research Article

An Improved Kernelized Correlation Filter Based Visual Tracking Method

Jianjun Ni | Xue Zhang | ... | Jinxiu Zhu
  • Special Issue
  • - Volume 2018
  • - Article ID 5847460
  • - Research Article

Deep Image Understanding Using Multilayered Contexts

Donghyeop Shin | Incheol Kim
  • Special Issue
  • - Volume 2018
  • - Article ID 2850632
  • - Research Article

Data Augmentation-Assisted Makeup-Invariant Face Recognition

Muhammad Sajid | Nouman Ali | ... | Shahbaz Baig
Mathematical Problems in Engineering
 Journal metrics
Acceptance rate27%
Submission to final decision64 days
Acceptance to publication34 days
CiteScore1.800
Impact Factor1.009
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