[PDF][PDF] Application of neural networks in diagnosing cancer disease using demographic data
N Ganesan, K Venkatesh, MA Rama… - International Journal of …, 2010 - Citeseer
ABSTRACT Artificial Neural Network is a branch of Artificial intelligence, has been accepted
as a new technology in computer science. Neural Networks are currently a'hot'research area …
as a new technology in computer science. Neural Networks are currently a'hot'research area …
A fast learning algorithm for parsimonious fuzzy neural systems
In this paper, a novel learning algorithm for dynamic fuzzy neural networks based on
extended radial basis function neural networks, which are functionally equivalent to Takagi …
extended radial basis function neural networks, which are functionally equivalent to Takagi …
Face recognition using support vector machines with local correlation kernels
This paper presents a real-time face recognition system. For the system to be real time, no
external time-consuming feature extraction method is used, rather the gray-level values of …
external time-consuming feature extraction method is used, rather the gray-level values of …
[PDF][PDF] Face recognition: a survey
Face Recognition plays a major role in Biometrics. Feature selection is a measure issue in
face recognition. This paper proposes a survey on face recognition. There are many …
face recognition. This paper proposes a survey on face recognition. There are many …
Face recognition using principal component analysis
Face recognition is one of the finest method or field to use for better accuracy and also
security. Face is comprising of multidimensional structure with complexity and for that …
security. Face is comprising of multidimensional structure with complexity and for that …
A comparative survey on biometric identity authentication techniques based on neural networks
R Kannavara, N Bourbakis… - Biometrics: Theory …, 2009 - books.google.com
Biometrics is the study of methods for uniquely identifying or authenticating humans based
on intrinsic physical or behavioral traits. Identificationmeans characteristics are selected …
on intrinsic physical or behavioral traits. Identificationmeans characteristics are selected …
[PDF][PDF] Holistic face recognition by dimension reduction
AB Gül - 2003 - academia.edu
Face recognition is a popular research area where there are different approaches studied in
the literature. In this thesis, a holistic Principal Component Analysis (PCA) based method …
the literature. In this thesis, a holistic Principal Component Analysis (PCA) based method …
Feature extraction of face recognition techniques utilizing neural system as a classifier
Face recognition has a large extent of applications from individual recognizable proof and
reconnaissance to electronics showcasing and publicizing for chosen clients. There are …
reconnaissance to electronics showcasing and publicizing for chosen clients. There are …
[PDF][PDF] Face recognition using RBF kernel based support vector machine
Face recognition has been an active research area over the last 30 years. It has been
studied by scientists from different areas of psychophysical sciences and those from different …
studied by scientists from different areas of psychophysical sciences and those from different …
[PDF][PDF] Development of efficient methods for face recognition and multimodal biometry
A Patra - Department of Computer Science and Engineering …, 2006 - isical.ac.in
The issues associated with identity usurpation are currently at the heart of numerous
concerns in our modern society. Establishing the identity of an individual is considered as a …
concerns in our modern society. Establishing the identity of an individual is considered as a …