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A Supervised Hybrid Methodology for Pose and Illumination Invariant 3D Face Recognition
2012
International Journal of Computer Applications
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The PCA components of normalized depth map and Moment invariants on mesh images are used successfully to implement a fuzzy neural network based fully automatic 3D face recognition system. ...
The depth map of the 3D face data has the potential to handle the variation in illumination of face images. The view variations are handled by using the moment invariants. ...
In [6] the survey on neural-fuzzy system is available in detail, as well as overall process of rule generation, process of hybridization and incorporation of fuzzy system in neural network is described ...
doi:10.5120/7537-474
fatcat:suoy6tto6bbkbhmm5uy3bhum5m
Neurocomputer Applications
[chapter]
1989
Neural Computers
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Neural networks have been shown to be capable of carrying out information processing operations in the areas of sensor processing (pattern preprocessing, pattern recognition), knowledge processing (knowledge ...
Neural networks are nonalgorithmic computing structures with the topology of a directed graph that can carry out information processing by means of their state response to continuous or initial input. ...
KNOWLEDGE PROCESSING APPLICATIONS By virtue of their ability to autonomously acquire knowledge from data, to incrementally incorporate new data into their mapping functions and to carry out logical hypothesis ...
doi:10.1007/978-3-642-83740-1_45
fatcat:gb6lg43zurdhhppqgxuzz2ubbq
Techniques for Machine Learning based Spatial Data Analysis: Research Directions
2017
International Journal of Computer Applications
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Several significant techniques like -Artificial Neural Network, Support Vector Regression, k-Nearest Neighbour, Bayesian Classifiers and Decision Trees are developed in past years to acheive this task. ...
The first and most complicated problem concerns is the amount of available data. This paper reviews state-of-the-art in the domain of spatial data analysis by employing machine learning approaches. ...
Image processing is a technique of collecting the information to manipulate the digital images. Normally there are four steps to classify an image. ...
doi:10.5120/ijca2017914643
fatcat:6uhdrkatzfd5vnd7cx7my7bnpa
Object recognition and performance bounds
[chapter]
1997
Lecture Notes in Computer Science
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Bayesian statistical pattern recognition, neural networks and rule based syst~ems have been used to address the object recognition problem. ...
The paper discusses the Bayesian paradigm and contrasts its ability to provide performance bounds as compared to neural networks and rule based systems. ...
Techniques such as fuzzy logic can be incorporated into a neural network classifier for applications with little training data. ...
doi:10.1007/3-540-63507-6_220
fatcat:phbkd4jtdbdyjcxieissdvmdhu
Medical image analysis with artificial neural networks
2010
Computerized Medical Imaging and Graphics
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to resolve a medical imaging problem; (ii) how medical images could be analysed, processed, and characterised by neural networks; and (iii) how neural networks could be expanded further to resolve problems ...
Given the fact that neural networks have been widely reported in the research community of medical imaging, we provide a focused literature survey on recent neural network developments in computeraided ...
There are no clear 29 rules or procedures that can be followed to determine if using a neural network is the best choice for a specific imaging problem, though guidance can be laid out to assist those ...
doi:10.1016/j.compmedimag.2010.07.003
pmid:20713305
fatcat:iycrdoy4yfgjfof2ml4xk7iz6i
Neural Networks and their Applications in Industry
ENGLISH
2000
DESIDOC Bulletin of Information Technology
ENGLISH
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The various applications that neural networks have been put to and the potential possibilities that exist in a variety of civil and military sectors are tremendous. ...
Some fundamentals of neural network architecture are discussed, followed by advantages of such networks. The domains of commercial applications of neural technology are highlighted. ...
As a part of this effort, advanced recombinant DNA and gene-mapping techniques, developed over the last two decades, have led to an unprecedented effort to map and sequence the entire human genome-the ...
doi:10.14429/dbit.20.1.3509
fatcat:65mxcnxmaba4tj3ysup5iscdmm
10.31142/ijtsrd18461
2019
Zenodo
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It also considers the incorporation of neural networks with other computing systems Such as vague logic to enhance the construal ability of data. ...
It is a collection of a large number of highly interconnected processing elements neurones working in union to solve exact problems. ...
It also considers the incorporation of neural networks with other computing systems Such as vague logic to enhance the construal ability of data. ...
doi:10.5281/zenodo.3587964
fatcat:gqoflvbhcna7lfr6gsjemywryu
Clinical decision support systems in myocardial perfusion imaging
2014
Journal of Nuclear Cardiology
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while the time available to master this knowledge base, assemble the relevant clinical data, and apply it to specific tasks is steadily shrinking. ...
Diagnostic imaging is becoming more complicated, physicians are also required to master an ever-expanding knowledge base and take into account an ever increasing amount of patientspecific clinical information ...
Acknowledgments EVG and JLK receive royalties from the sale of the Emory Cardiac Toolbox and PERFEX described in this article. ...
doi:10.1007/s12350-014-9857-9
pmid:24482142
fatcat:xb3i3pelc5cdhkkbi2vzl6unci
Review Of Literature On Design And Development Of An Expert System For Diagnosis Of Selected Cardiac Diseases
2018
Zenodo
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and will demonstrate the assistance of a microcomputer-based expert system for medical diagnosis related to Selected Cardiac Diseases. ...
The Cardiology has estimates that there is shortage of specialists, and the worrying fact is that the majority of electrocardiograms are analyzed by general practitioners in out-of-hospital environments ...
Segmentation means divide or partition an image into multiple parts. Image segmentation is used to segment the parts of the image for processing. ...
doi:10.5281/zenodo.1471480
fatcat:cznr6o2li5et3ipbws2tanpcly
Novel Concepts for Realizing Neural Networks as Services in the Sky
2014
Procedia Computer Science
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Quality-of-Service guarantees of Cloud resources, and NN2Query, a novel query interface facilitating the user to find solutions to problems by smart searching of neural network resources using semantic ...
We build up on the N2Sky system, a Virtual Organization architecture for the Computational Intelligence community, which provides sharing and exchange of neural network resources, neural network specific ...
In the effort to find an existing neural network paradigm or already trained object we applied the technique of ontology alignment. ...
doi:10.1016/j.procs.2014.05.216
fatcat:blqotyjsgzcktphnjkw7rmtsce
Decision support systems for clinical radiological practice — towards the next generation
2010
British Journal of Radiology
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Within radiology, the recent development of quantitative imaging techniques, such as perfusion imaging, and the development of imaging-based biomarkers in modern therapeutic assessment has highlighted ...
The huge amount of information that needs to be assimilated in order to keep pace with the continued advances in modern medical practice can form an insurmountable obstacle to the individual clinician. ...
More advanced systems also incorporate an element of image processing to facilitate further this methodology [11] . ...
doi:10.1259/bjr/33620087
pmid:20965900
pmcid:PMC3473729
fatcat:ovbi2rb6tzccppkwkiinc7lywq
Page 5648 of Psychological Abstracts Vol. 80, Issue 12
[page]
1993
Psychological Abstracts
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The Internet Archive has digitized a microfilm copy of this work. It may be possible to borrow a copy for reading.
—Presents an extension of the topographic map of the inputs to which living neural systems are exposed. The Kohonen network gives mathematical form to these spatially organized maps. ...
ALCOVE successfully fit the data, however, when prior biases observed in human rule learning were implemented into weights of the network. ...
Computational Intelligence in Multimedia Processing: Foundation and Trends
[chapter]
2008
Studies in Computational Intelligence
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A review of the current literature on CI based approaches to various problems in multimedia computing such as speech, audio and image processing, video watermarking, content-based multimedia indexing and ...
This chapter presents a broad overview of Computational Intelligence (CI) techniques including Neural Network (NN), Particle Swarm Optimization (PSO), Evolutionary Algorithm (GA), Fuzzy Set (FS), and Rough ...
Cao and Suganthan [27] developed a neural network based technique to segment the video sequence into shots automatically and with a minimum number of user-defined parameters. ...
doi:10.1007/978-3-540-76827-2_1
fatcat:7jl4ir66vvcl7g436ektwkqwpy
Generalizing Deep Models for Overhead Image Segmentation Through Getis-Ord Gi* Pooling
[article]
2019
arXiv
pre-print
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Based on this, we develop a novel feature pooling method for convolutional neural networks using Getis-Ord Gi* analysis from geostatistics. ...
In particular, we exploit the fact that there are certain fundamental rules as to how things are distributed on the surface of the Earth and these rules do not vary substantially between locations. ...
Before deep learning, there was work on rule-based neural networks which required expert knowledge to design the network for specific applications. ...
arXiv:1912.10667v1
fatcat:xza5dbec55fw7ewoohqhti3r7a
Dynamic relevance: vision-based focus of attention using artificial neural networks
1997
Artificial Intelligence
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As a model of the task is learned, the model is simultaneously extended to create task-specific predictions of the future values of inputs. ...
The techniques presented in this paper have been successfully applied to the vision-based autonomous control of a land vehicle, vision-based hand tracking in cluttered scenes, and the detection of faults ...
The views and conclusions contained in this document are those of the authors and should not be interpreted as representing official policies, either expressed or implied, of NASA, NSF, ARPA, or the U.S ...
doi:10.1016/s0004-3702(97)00065-9
fatcat:ygewh6tnkzceder4v6g4zn2iea
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