NDLI: Prime feature extraction in pyramid network

Content Provider	IEEE Xplore Digital Library
Author	Guoxin Xing
Copyright Year	1995
Description	Author affiliation: King Green Co. Ltd., Wellington, New Zealand (Guoxin Xing)
Abstract	A simple features extraction method for a connection weights fixed multi-layer feedforward pyramid network is proposed in this paper. Pyramid network development was biologically motivated, and an innovative pattern recognition strategy is follows which divides the mapping work into neural network and coordinate feature extraction and code matching algorithms within a conventional Von Neumann computer. Benefiting from its unique structure and simple feedforward mapping method, pyramid network can perform topology preserving mapping from a high dimensional space to a lower dimensional lattice. At the lower dimensional output layer, a code of the input pattern can be constructed by a set of gradient magnitudes of output layer neurons output and the average value of those outputs in a sequence of centre to surrounding neurons. Consequently learning and classification modules can be simplified by using algorithms to store feature vectors and matching these codes in a conventional memory. Experiments show that a small size set of 3/spl times/3 vectors can sufficiently represent many input pattern geometry features.
Starting Page	2171
Ending Page	2174
File Size	298982
Page Count	4
File Format	PDF
ISBN	0780327683
DOI	10.1109/ICNN.1995.489016
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1995-11-27
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Feature extraction Neurons Biological information theory Pattern recognition Neural networks Pattern matching Biology computing Computer networks Network topology Lattices
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Feature Points Matching Based on Hysteretic Chaotic Neural Network

Temporal pattern recognition using a spiking neural network with delays

Neural-based architectures for the segmentation of textures

Pattern matching in time series using combination of neural network and rule based approach

Handwritten alphabet and digit character recognition using feature extracting neural network and modified self-organizing map

Topology preservation in self-organizing maps

A high order relaxation labeling neural network for feature matching

Pattern classification using a self-organizing neural network

Information processing in biology-inspired pulse coded neural networks

Prime feature extraction in pyramid network

Similar Documents

Feature Points Matching Based on Hysteretic Chaotic Neural Network

Temporal pattern recognition using a spiking neural network with delays

Neural-based architectures for the segmentation of textures

Pattern matching in time series using combination of neural network and rule based approach

Handwritten alphabet and digit character recognition using feature extracting neural network and modified self-organizing map

Topology preservation in self-organizing maps

A high order relaxation labeling neural network for feature matching

Pattern classification using a self-organizing neural network

Information processing in biology-inspired pulse coded neural networks

Prime feature extraction in pyramid network