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An Open Source Pattern Recognition Toolbox for MATLAB
[article]
2014
arXiv
pre-print
Preserved Fulltext
In this work we describe a MATLAB toolbox for pattern recognition and machine learning known as the PRT (Pattern Recognition Toolbox), licensed under the permissive MIT license. ...
MATLAB is a widely used environment for algorithm development and prototyping, and although several MATLAB toolboxes for pattern recognition are currently available these are either incomplete, expensive ...
Conclusion This document has discussed the PRT -an open source and permissively licensed pattern recognition toolbox for MATLAB. ...
arXiv:1406.5565v1
fatcat:unte2qrpzzdmpm6rwu3pmbzahq
Toolbox for Emotional feAture extraction from Physiological signals (TEAP)
2017
Frontiers in ICT
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2 Physiological response is an important component of an emotional episode. In this paper, we 3 introduce a Toolbox for Emotional feAture Extraction from Physiological signals (TEAP). ...
This 4 open source toolbox can preprocess and calculate emotionally relevant features from multiple 5 physiological signals, namely, electroencephalogram (EEG), galvanic skin response (GSR), 6 electromyogram ...
The results of 170 participant-independent cross validation on MAHNOB-HCI database are reported alongside the original 171 results in
. 71 Table 1 . 711 Relevant open source toolboxes for physiological ...
doi:10.3389/fict.2017.00001
fatcat:f62q4kegb5e5ddwhkfwtrnw42y
IRootLab: a free and open-source MATLAB toolbox for vibrational biospectroscopy data analysis
2013
Computer applications in the biosciences : CABIOS
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IRootLab is a free and open-source MATLAB toolbox for vibrational biospectroscopy (VBS) data analysis. ...
It offers an object-oriented programming class library, graphical user interfaces (GUIs) and automatic MATLAB code generation. ...
We would also like to thank Rosemere Cancer Foundation for their support over the years. Conflict of Interest: none declared. ...
doi:10.1093/bioinformatics/btt084
pmid:23422340
fatcat:gm4fuwt75nhojkrkh7ylhhwdo4
Radial Distortion Refinement by Inverse Mapping-Based Extrapolation
2006
18th International Conference on Pattern Recognition (ICPR'06)
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Caltech Calibration Toolbox" by Jean-Yves Bouguet is one of the most famous open-source calibration tools [1] . ...
The proposed method is expected to be an efficient supplement and is opened to the public in the appendix as a short Matlab script. ...
Matlab source code is attached in the appendix for convenient use. ...
doi:10.1109/icpr.2006.952
dblp:conf/icpr/JungLYK06
fatcat:bztwtqbc4jgbxb4ezja3s45uca
PROGRAMS WITH DATA MINING CAPABILITIES
2012
Analele Universităţii Constantin Brâncuşi din Târgu Jiu : Seria Economie
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The fact that the Internet has become a commodity in the world has created a framework for anew economy. ...
The information is often hidden in data and for their retrieval is necessary to use softwarecapable of applying data mining algorithms and techniques. ...
In Fig. 4 . and Fig. 5 . are presented Neural Network Pattern Recognition Tool of Neural Network Toolbox that perform recognition models. ...
doaj:3b3e7f3f4a134d27aea809d9c1f16bd8
fatcat:6edphuqdc5c5hhk44ttee7iham
HTM-MAT: An online prediction software toolbox based on cortical machine learning algorithm
[article]
2017
arXiv
pre-print
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HTM-MAT is a MATLAB based toolbox for implementing cortical learning algorithms (CLA) including related cortical-like algorithms that possesses spatiotemporal properties. ...
- the recurrentjs based on the Long Short-Term Memory (LSTM) algorithm and OS-ELM which is based on an online sequential version of the Extreme Learning Machine. ...
Impact
HTM-MAT is an open source MATLAB toolbox that allows cortical learning algorithms to be explored in a technical computing environment. ...
arXiv:1708.01659v1
fatcat:4pusireb4rbblfz7xnkalvu7du
Speech Recognizing for Presentation Tool Navigation Using Back Propagation Artificial Neural Network
2016
MATEC Web of Conferences
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The simulation is built by using a Neural Network Toolbox Matlab R2014a. Speech samples were taken from five different people with wav format. ...
This study uses research and development to create a simulation using Backpropagation ANN for speech recognition from number one to five to navigate slides of the presentation tool. ...
The simulation is built by using a Neural Network Toolbox Matlab R2014a. Matlab is an interactive, matrixbased system for scientific and engineering numeric computation and visualization. ...
doi:10.1051/matecconf/20167507001
fatcat:hxu3kvxxzjhaxhtt3wk2ok7lfi
Image Recognition by Using the Progressive Wavelet Correlation
2012
International Journal of Image Graphics and Signal Processing
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Experiments are performed with data bases up to 1000 images, using the Oracle database and the Matlab component Database Toolbox for operations with databases. ...
An algorithm for image recognition and retrieval of image from image collection is developed. Basis of the algorithm is the progressive wavelet correlation. ...
The Database Toolbox is part of an extensive collection of toolboxes for use with Matlab. Before the Database Toolbox is connected to a database, a data source must be set. ...
doi:10.5815/ijigsp.2012.09.01
fatcat:wall5lez7rdv7g73dathgm4di4
Causal Learner: A Toolbox for Causal Structure and Markov Blanket Learning
[article]
2021
arXiv
pre-print
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Causal Learner aims to provide researchers and practitioners with an open-source platform for causal learning from data and for the development and evaluation of new causal learning algorithms. ...
Causal Learner is a toolbox for learning causal structure and Markov blanket (MB) from data. ...
Acknowledgments We would like to acknowledge support for this project from the National Key Research and Development Program of China (under grant 2020AAA0106100), and the National Science Foundation of ...
arXiv:2103.06544v2
fatcat:kupr6nipr5fm3hs3r2vhwfmoyi
Classification of EMG signal for multiple hand gestures based on neural network
2020
Indonesian Journal of Electrical Engineering and Computer Science
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Finally, the extraction of the EMG patterns for each movement went through features extraction of the signals which is used to train the classifier in MATLAB to classify signals in the neural network. ...
predefined by using Arduino IDE, CoolTerm software and Microsoft Excel before using artificial neural network for classifying purposes in MATLAB. ...
The '.xlsx' file is called to neural network toolbox in MATLAB for classification. ...
doi:10.11591/ijeecs.v17.i1.pp256-263
fatcat:rpcublxbt5eahlkql5c6d4ocsu
Combining two open source tools for neural computation (BioPatRec and Netlab) improves movement classification for prosthetic control
2016
BMC Research Notes
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Evaluation took place within the BioPatRec environment, a Matlab-based open source platform that provides feature extraction, processing and motion classification algorithms for prosthetic control. ...
To resolve this shortcoming and to facilitate comparisons, open access data sets were analysed using components of BioPatRec and Netlab pattern recognition models. ...
Acknowledgements The authors would like to thank the Technical University of Vienna for funding this publication, and the Christian Doppler Forschungsgesellschaft. ...
doi:10.1186/s13104-016-2232-y
pmid:27581624
pmcid:PMC5007720
fatcat:mhuurwmynzh7jmkl2l4kcse6ea
An Available Open-Source Vein Recognition Framework
[chapter]
2019
Advances in Computer Vision and Pattern Recognition
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It is fully open source and available free of charge for research and non-commercial purposes. ...
An available recognition toolkit is one of the basic requirements for conducting research in finger-and hand vein recognition. ...
An Available Open-Source Vein Recognition Framework
An Available Open-Source Vein Recognition Framework
http://www.vlfeat.org/. 4 An Available Open-Source Vein Recognition Framework
An Available ...
doi:10.1007/978-3-030-27731-4_4
fatcat:pdpwpaaulnhjlixtpgcpprfgbm
Multifunctional Prosthesis Control with Simulation of Myoelectric Signals
2020
KnE Engineering
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Surface EMG acquire the activation of surrounding muscles and for that reason the obtained signal needs to be conditioned and processed, with pattern recognition techniques for extraction and classification ...
In this work EMG signals were acquired for two hand movements, "hand close" and "hand open". ...
The signals were obtained with Powerlab acquisition system from ADintrumental, and the data was processed with MATLAB software because it has powerful toolboxes for the pattern recognition and classification ...
doi:10.18502/keg.v5i6.7101
fatcat:tljqog3z4ngoritvhqrcyxkzta
Image Processing in Artificial Intelligence
2020
International Journal of Scientific Research in Computer Science Engineering and Information Technology
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When applied to Image Processing, Artificial Intelligence (AI) can propel face recognition and security functionality in public places, detecting and recognizing intruders, objects, and patterns in live ...
In classical image processing systems, an image is pre-processed to remove noise (denoising), segmented to produce close object boundaries, analysed to extract a representative feature, and compared to ...
It is used for building computer vision and natural language processing applications. C. MATLAB Image Processing Toolbox MATLAB is an abbreviation for matrix laboratory. ...
doi:10.32628/cseit206542
fatcat:xd7mhoqhujgz7ezef7p7a66asm
Ear Recognition: More Than a Survey
[article]
2019
arXiv
pre-print
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state-of-the-art techniques for ear recognition. ...
Automatic identity recognition from ear images represents an active field of research within the biometric community. ...
To address this problem for the field of ear recognition, we introduce in this section the AWE toolbox, an open source Matlab toolbox designed for reproducible research in ear recognition (and beyond). ...
arXiv:1611.06203v2
fatcat:jxisgzcmivf4dhpbjku2jrmwfi
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