Mathematical Problems in Engineering

Recent Advancements in Signal Processing and Machine Learning


Publishing date
14 Feb 2014
Status
Published
Submission deadline
27 Sep 2013

Lead Editor
Guest Editors

1College of Information Science and Engineering, Hunan City University, Hunan, China

2Electrical and Electronic Engineering Department, University of Melbourne, Parkville, VIC 3010, Australia

3Department of Electrical and Computer Engineering, Tufts University, Medford, MA 02155, USA


Recent Advancements in Signal Processing and Machine Learning

Description

Much of cutting edge technologies rely on the research on signal processing and machine learning, and a great number of algorithms and devices have been developed with respect to various problems, such as signal denoising, image registration and pattern recognition, texture analysis, surveillance, biometrics, human-machine interface, image/video compression/encryption, and image enhancement.

Some of the rich literature pointed out the relation between signal processing and machine learning. Many signal processing problems and machine learning problems are closely related. For example, wavelet transform proposed for signal processing has been used as a preprocessing for many machine learning applications, and random fields and probabilistic graphic models show good results in image segmentations and recognitions. It is the time to motivate these two interactive areas to work together and pay more attention to each area.

All submitted papers will be rigorously reviewed, and we will select papers based on their originality, timeliness, significance, and relevance to this special issue. Potential topics include, but are not limited to:

  • Audio, speech, and language processing (analysis, understanding, denoising, compression, encryption, classification, recognition, synthesis, etc.)
  • Image, video, and multimedia processing (analysis, segmentation, enhancement, compression, encryption, classification, registration, phasing, recognition, etc.)
  • Pattern recognition and machine learning (feature extraction, statistical learning, manifold learning, subspace learning, visual learning, etc.)
  • Information forensics and security (encryption, watermarking, data hiding, surveillance, etc.)
  • Signal processing and machine learning applications in biological and medical areas (registration, classification, correlation analysis, 3D reconstruction, etc.)
  • Mathematical methods and modeling for signal processing and machine learning (data modeling, statistical methods, probabilistic graphical models, sparse representation, and optimization)
  • Signal processing and machine learning system (circuit design, embedded system, and system optimization)

Before submission authors should carefully read over the journal’s Author Guidelines, which are located at http://www.hindawi.com/journals/mpe/guidelines/. Prospective authors should submit an electronic copy of their complete manuscript through the journal Manuscript Tracking System at http://mts.hindawi.com/submit/journals/mpe/spml/ according to the following timetable:


Articles

  • Special Issue
  • - Volume 2013
  • - Article ID 396780
  • - Research Article

Unsupervised Optimal Discriminant Vector Based Feature Selection Method

Su-Qun Cao | Jonathan H. Manton
  • Special Issue
  • - Volume 2013
  • - Article ID 353261
  • - Research Article

Video Shot Boundary Recognition Based on Adaptive Locality Preserving Projections

Yongliang Xiao | Limin Xia | ... | Jianquan Xie
  • Special Issue
  • - Volume 2013
  • - Article ID 641927
  • - Research Article

Active Semisupervised Clustering Algorithm with Label Propagation for Imbalanced and Multidensity Datasets

Mingwei Leng | Jianjun Cheng | ... | Xiaoyun Chen
  • Special Issue
  • - Volume 2013
  • - Article ID 894384
  • - Research Article

Application of Fuzzy Set Theory to Quantitative Analysis of Correctness of the Mathematical Model Based on the ADI Method during Solidification

Xiaofeng Niu | Guanqian Wang | ... | Jinshan Zhang
  • Special Issue
  • - Volume 2013
  • - Article ID 816836
  • - Research Article

Tensorial Kernel Principal Component Analysis for Action Recognition

Cong Liu | Xu Wei-sheng | Wu Qi-di
  • Special Issue
  • - Volume 2013
  • - Article ID 275060
  • - Research Article

An Initial Value Calibration Method for the Wheel Force Transducer Based on Memetic Optimization Framework

Guoyu Lin | Weigong Zhang | ... | Dong Wang
  • Special Issue
  • - Volume 2013
  • - Article ID 241517
  • - Research Article

Application of Global Optimization Methods for Feature Selection and Machine Learning

Shaohua Wu | Yong Hu | ... | Wanneng Shu
  • Special Issue
  • - Volume 2013
  • - Article ID 340480
  • - Research Article

An Efficient Web Usage Mining Approach Using Chaos Optimization and Particle Swarm Optimization Algorithm Based on Optimal Feedback Model

Lu Dai | Wei Wang | Wanneng Shu
  • Special Issue
  • - Volume 2013
  • - Article ID 825673
  • - Research Article

Low-Complexity Compression Algorithm for Hyperspectral Images Based on Distributed Source Coding

Yongjian Nian | Mi He | Jianwei Wan
  • Special Issue
  • - Volume 2013
  • - Article ID 503924
  • - Research Article

A Novel Fusion Method by Static and Moving Facial Capture

Shuai Liu | Weina Fu | ... | Qianzhong Li
Mathematical Problems in Engineering
 Journal metrics
Acceptance rate27%
Submission to final decision64 days
Acceptance to publication34 days
CiteScore1.800
Journal Citation Indicator0.400
Impact Factor1.305
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