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A Supervised Hybrid Methodology for Pose and Illumination Invariant 3D Face Recognition

Nita M.Thakare, V.M. Thakare
2012 International Journal of Computer Applications  
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]

Robert Hecht-Nielsen
1989 Neural Computers  
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

M. Gangappa, C. Kiran, P. Sammulal
2017 International Journal of Computer Applications  
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]

J. K. Aggarwal, Shishir Shah
1997 Lecture Notes in Computer Science  
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

J. Jiang, P. Trundle, J. Ren
2010 Computerized Medical Imaging and Graphics  
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

Dhruba J. Sarma, Susmita G. Sarma
2000 DESIDOC Bulletin of Information Technology  
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

A Review On Neural Networks, Joselin. J, Dinesh. T, Ashiq. M
2019 Zenodo  
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

Ernest V. Garcia, J. Larry Klein, Andrew T. Taylor
2014 Journal of Nuclear Cardiology  
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

Gath Sulbha, A. T. Gaikwad
2018 Zenodo  
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

Altaf Ahmad Huqqani, Erwin Mann, Erich Schikuta
2014 Procedia Computer Science  
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

S M Stivaros, A Gledson, G Nenadic, X-J Zeng, J Keane, A Jackson
2010 British Journal of Radiology  
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  
—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]

Aboul-Ella Hassanien, Ajith Abraham, Janusz Kacprzyk, James F. Peters
2008 Studies in Computational Intelligence  
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]

Xueqing Deng, Yi Zhu, Yuxin Tian, Shawn Newsam
2019 arXiv   pre-print
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

Shumeet Baluja, Dean Pomerleau
1997 Artificial Intelligence  
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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