Hybrid data mining for medical applications (2009)
Hassan, Syed Zahid., Verma, Brijesh.
This chapter focuses on hybrid data mining algorithms and their use in medical applications. It reviews existing data mining algorithms and presents a novel hybrid data mining approach, which takes...
Li, Michael M., Guo, Wanwu., Verma, Brijesh., Tickle, Kevin., O'Connor, John.
This paper investigates two different intelligent techniques - the neural network (NN) method and the simulated annealing (SA) algorithm for solving the inverse problem of Rutherford Backscattering...
A Neural Network Based Technique for Muscle Coordination and Vertical Jump Height Prediction (2008)
The purpose of this study was to investigate the training of Artificial Neural Networks (ANNs) to predict rnuscle coordination and vertical jump height. The paper presents the structure and training...
A Feature Extraction Technique for Online Handwriting Recognition (2008)
Brijesh Verma, Jenny Lu, Moumita Ghosh, Ranadhir Ghosh
The paper presents a feature extraction technique for on-line handwriting recognition. The technique incorporates many characteristics of handwritten characters based on structural, directional and...
Brijesh Verma, Michael Blumenstein, Moumita Ghosh
The paper presents a novel approach for extracting structural features from segmented cursive handwriting. The proposed approach is based on the contour code and stroke direction. The contour code...
ABSTRACT: This paper presents a new automatic feature extraction technique and a neural network based classijcation method for recognition of rotating images. Image processing technique extracts...
Fusion of Segmentation Strategies for Off-Line Cursive Handwriting Recognition (2008)
Blumenstein, Michael Myer, Verma, Brijesh
Yes
Pattern Recognition Technologies and Applications: Recent Advances (2008)
Verma, Brijesh, Blumenstein, Michael Myer
No
Over-Segmentation and Validation Strategy for Off-line Cursive Handwriting Recognition (2008)
Lee, Hong, Faculty Of Business And Informatics., Verma, Brijesh, Faculty Of Business And Informatics.
This paper presents an over-segmentation and validation strategy for off-line cursive handwriting recognition. Over-segmentation module is employed to find all the possible character boundaries....
Parallel Neural-based Hybrid Data Mining Ensemble (2008)
Hassan, Syed, Faculty Of Business And Informatics., Verma, Brijesh, Faculty Of Business And Informatics.
This paper presents a novel hybrid data mining ensemble approach which is an effective combination of various clustering methods, in order to utilize the strengths of individual technique and...
Fusion of segmentation strategies for off-line cursive handwriting recognition (2008)
Verma, Brijesh., Blumenstein, Michael.
Cursive handwriting recognition is a challenging task for many real world applications such as document authentication, form processing, postal address recognition, reading machines for the blind,...
Impact of soft clustering on classification of suspicious areas in digital mammograms (2008)
McLeod, Peter, Faculty Of Business And Informatics., Verma, Brijesh, Faculty Of Business And Informatics.
This paper investigates a soft cluster based approach for determining the impact of soft clustering on the training of a neural network classifier for the classification of suspicious areas in...
Verma, Brijesh, Faculty Of Business And Informatics.
The main objective of this paper is to present a novel learning algorithm for the classification of mass abnormalities in digitized mammograms. The proposed approach consists of new network...
A Novel Multiple Experts and Fusion Based Segmentation Algorithm (2008)
This paper presents a novel segmentation algorithm for offline cursive handwriting recognition. An over-segmentation algorithm is introduced to dissect the words from handwritten text based on the...
Hierarchical fuzzy control for the inverted pendulum (2008)
Zajaczkowski, Juliusz M., Verma, Brijesh.
We examine hierarchical fuzzy control of the inverted pendulum over the set of initial conditions. A new compositional method for the inverted pendulum system is introduced. Three layered...
Pattern Recognition Technologies and Applications (2008)
Verma, Brijesh, Faculty Of Business And Informatics., Blumenstein, Michael
Preface The history of automated pattern recognition can be traced back to the advent of modern computing mid-way through the 20th century. Since that time, the popularity and growth of the pattern...
Pattern recognition technologies and applications : recent advances (2008)
Verma, Brijesh., Blumenstein, Michael.
" This book provides cutting-edge pattern recognition techniques and applications. Written by world-renowned experts in their field, this easy to understand book is a must have for those seeking...
Pattern recognition technologies and applications : recent advances (2008)
Verma, Brijesh., Blumenstein, Michael.
" This book provides cutting-edge pattern recognition techniques and applications. Written by world-renowned experts in their field, this easy to understand book is a must have for those seeking...
Pattern Recognition Technologies and Applications (2008)
Verma, Brijesh., Faculty Of Business And Informatics., Blumenstein, Michael.
Preface The history of automated pattern recognition can be traced back to the advent of modern computing mid-way through the 20th century. Since that time, the popularity and growth of the pattern...
Over-segmentation and validation strategy for off-line cursive handwriting recognition (2008)
This paper presents an over-segmentation and validation strategy for off-line cursive handwriting recognition. Over-segmentation module is employed to find all the possible character boundaries....
Parallel neural-based hybrid data mining ensemble (2008)
Hassan, Syed Zahid., Verma, Brijesh.
This paper presents a novel hybrid data mining ensemble approach which is an effective combination of various clustering methods, in order to utilize the strengths of individual technique and...
Fusion of segmentation strategies for off-line cursive handwriting recognition (2008)
Verma, Brijesh., Blumenstein, Michael.
Cursive handwriting recognition is a challenging task for many real world applications such as document authentication, form processing, postal address recognition, reading machines for the blind,...
Impact of soft clustering on classification of suspicious areas in digital mammograms (2008)
McLeod, Peter., Verma, Brijesh.
This paper investigates a soft cluster based approach for determining the impact of soft clustering on the training of a neural network classifier for the classification of suspicious areas in...
The main objective of this paper is to present a novel learning algorithm for the classification of mass abnormalities in digitized mammograms. The proposed approach consists of new network...
This paper presents a novel segmentation algorithm for offline cursive handwriting recognition. An over-segmentation algorithm is introduced to dissect the words from handwritten text based on the...
Hierarchical fuzzy control for the inverted pendulum (2008)
Zajaczkowski, Juliusz M., Verma, Brijesh.
We examine hierarchical fuzzy control of the inverted pendulum over the set of initial conditions. A new compositional method for the inverted pendulum system is introduced. Three layered...
Vertical Jump Height Prediction using EMG Characteristics and Neural Networks (2007)
The purpose of this study was to investigate the Artificial Neural Networks (ANNs) in conjunction with EMG characteristics to predict vertical jump height. This paper investigates three key areas for...
Vertical Jump Height Prediction using EMG Characteristics and Neural Networks (2007)
The purpose of this study was to investigate the Artificial Neural Networks (ANNs) in conjunction with EMG characteristics to predict vertical jump height. This paper investigates three key areas for...
A Neural Network for Real-World Postal Address Recognition (2007)
Michael Blumenstein, Brijesh Verma
In this paper, we present a description of an implemented system for the recognition of printed and handwritten postal addresses, based on Artificial Neural Networks (ANNs). Two classification...
: This paper presents a new automatic feature extraction technique and a neural network based classification method for recognition of rotating images. The Image processing technique extracts global...
Decisions fusion strategy : towards hybrid cluster ensemble (2007)
Hassan, Zahid., Verma, Brijesh.
Clustering ensembles have renowned as a powerful methodfor improving both the performance and constancy ofunsupervised classification solutions. However, finding aconsensus clustering from multiple...
A segmentation based adaptive approach for cursive handwritten text recognition (2007)
The paper presents a segmentation based adaptive approach for the learning and recognition of single person’s handwritten text. The approach is incorporated into an automated intelligent system for...
A neural network based approach for the vehicle classification (2007)
Goyal, Anshul., Verma, Brijesh.
This paper presents a neural network based approach for vehicle classification. The proposed vehicle classification approach extracts various features from a vehicle image, normalises and classifies...
Hassan, Zahid., Verma, Brijesh.
This paper presents a novel hybrid data mining approach for knowledge extraction and classification in medical databases. The approach combines self organizing map, k-means and naïve bayes with a...
McLeod, Peter., Verma, Brijesh., Panchal, Rinku.
The fusion of clustering and least square based method for the classification of suspicious areas into benign and malignant classes in digital mammograms was investigated in our previous paper which...
RBF neural networks for solving the inverse problem of backscattering spectra (2007)
Li, Michael M., Verma, Brijesh., Fan, Xiaolong., Tickle, Kevin.
This paper investigates a new method to solve the inverse problem of Rutherford Backscattering (RBS) data. The inverse problem is to determine the sample structure information from measured spectra,...
RBF neural networks for solving the inverse problem of backscattering spectra (2007)
Li, Michael M., Verma, Brijesh., Fan, Xiaolong., Tickle, Kevin.
This paper investigates a new method to solve the inverse problem of Rutherford Backscattering (RBS) data. The inverse problem is to determine the sample structure information from measured spectra,...
Hassan, Syed Zahid., Verma, Brijesh.
This paper presents a novel hybrid data mining approach for knowledge extraction and classification in medical databases. The approach combines self organizing map, k-means and naïve bayes with a...
A neural network based approach for the vehicle classification (2007)
Goyal, Anshul., Verma, Brijesh.
This paper presents a neural network based approach for vehicle classification. The proposed vehicle classification approach extracts various features from a vehicle image, normalises and classifies...
A segmentation based adaptive approach for cursive handwritten text recognition (2007)
The paper presents a segmentation based adaptive approach for the learning and recognition of single person’s handwritten text. The approach is incorporated into an automated intelligent system for...
McLeod, Peter., Verma, Brijesh.
This paper presents a technique which explores the fusion of clustering and a least square method for the classification of suspicious areas within digital mammograms into benign and malignant...
McLeod, Peter., Verma, Brijesh., Panchal, Rinku.
The fusion of clustering and least square based method for the classification of suspicious areas into benign and malignant classes in digital mammograms was investigated in our previous paper which...
Decisions fusion strategy : towards hybrid cluster ensemble (2007)
Hassan, Syed Zahid., Verma, Brijesh.
Clustering ensembles have renowned as a powerful methodfor improving both the performance and constancy ofunsupervised classification solutions. However, finding aconsensus clustering from multiple...
An Investigation of the modified direction feature for cursive character recognition (2007)
Blumenstein, Michael., Liu, Xin Yu., Verma, Brijesh.
This paper describes and analyses the performance of a novel feature extraction technique for the recognition of segmented/cursive characters that may be used in the context of a segmentation-based...
Digital mammography is one of the most suitable methods for early detection of breast cancer. It uses digital mammograms to find suspicious areas containing benign and malignant microcalcifications....
An Investigation of the Modified Direction Feature for Cursive Character Recognition (2007)
Blumenstein, Michael Myer, Liu, Xin Yu, Verma, Brijesh
This paper describes and analyses the performance of a novel feature extraction technique for the recognition of segmented/cursive characters that may be used in the context of a segmentation-based...
Verma, Brijesh, Zhang, Ping, Kumar, Kuldeep
This chapter reviews and presents genetic algorithms and statistical methods based approach for early detection and classification of breast cancer using digital mammography. A feature selection...
Application of Decision Trees for Mass Classification in Mammography (2006)
Kumar, Kuldeep, Zhang, Ping, Verma, Brijesh
This paper discusses the effectiveness of using decision trees for mass classification in mammography. The decision tree algorithms implemented by CART (Classification and Regression Trees) and See5...
Concept based term weighting for web information retrieval (2006)
In this paper we present a novel technique for determining term importance by exploiting concept based information found in ontologies. Calculating term importance is a significant and fundamental...
Neural networks for the classification of benign and malignant patterns in digital mammograms (2006)
Verma, Brijesh., Panchal, Rinku.
This chapter presents neural network-based techniques for the classification of microcalcification patterns in digital mammograms. Artificial Neural Network (ANN) applications in digital mammography...
Panchal, Rinku., Verma, Brijesh.
Presence of mass in breast tissues is highly indicative of breast cancer. The research work investigates the significance of neural-association of mass type of breast abnormality patterns for benign...
Verma, Brijesh., Zhang, Ping., Kumar, Kuldeep.
This chapter reviews and presents genetic algorithms and statistical methods based approach for early detection and classification of breast cancer using digital mammography. A feature selection...
Application of decision trees for mass classification in mammography (2006)
Kumar, Kuldeep., Zhang, Ping., Verma, Brijesh.
This paper discusses the effectiveness of using decision trees for mass classification in mammography. The decision tree algorithms implemented by CART (Classification and Regression Trees) and See5...
Panchal, Rinku., Verma, Brijesh.
Breast cancer continues to be the most common cause of cancer deaths in women. Early detection of breast cancer is significant for better prognosis. Digital Mammography currently offers the best...
Panchal, Rinku., Verma, Brijesh.
Early detection of breast abnormalities remains the primary prevention against breast cancer despite the advances in breast cancer diagnosis and treatment. Presence of mass in breast tissues is...
A Neural network based technique for automatic classification of road cracks (2006)
Bray, Justin., Li, Xue., He, Wade., Verma, Brijesh.
This paper presents a neural network based technique for the classification of segments of road images into cracks and normal images. The density and histogram features are extracted. The features...
A Novel context-based technique for web information retrieval (2006)
In this paper we present context matching, a novel context-based technique for the ad-hoc retrieval of web documents. The aim of the technique is to dynamically generate a measure of document term...
A Neural learning algorithm for the diagnosis of breast cancer (2006)
This paper presents a new learning algorithm for the diagnosis of breast cancer. The proposed algorithm with novel network architecture can memorize training patterns with 100% retrieval accuracy as...
Neural networks for content based image retrieval (2006)
Verma, Brijesh., Kulkarni, Siddhivinayak.
This chapter introduces neural networks for Content-Based Image Retrieval (CBIR) systems. It presents a critical literature review of both the traditional and neural network based techniques that are...
Concept based term weighting for web information retrieval (2006)
In this paper we present a novel technique for determining term importance by exploiting concept based information found in ontologies. Calculating term importance is a significant and fundamental...
Neural networks for the classification of benign and malignant patterns in digital mammograms (2006)
Verma, Brijesh., Panchal, Rinku.
This chapter presents neural network-based techniques for the classification of microcalcification patterns in digital mammograms. Artificial Neural Network (ANN) applications in digital mammography...
Panchal, Rinku., Verma, Brijesh.
Presence of mass in breast tissues is highly indicative of breast cancer. The research work investigates the significance of neural-association of mass type of breast abnormality patterns for benign...
Fan, Xiaolong., Verma, Brijesh.
This paper investigates a feature selection and classification technique for face recognition using genetic algorithms and artificial neural networks. The experiments using average grey level value...
A hybrid classifier for mass classification with different kinds of features in mammography (2005)
Zhang, Ping., Kumar, K., Verma, Brijesh.
This paper proposes a hybrid system which combines computer extracted features and human interpreted features from the mammogram, with the statistical classifier's output as another kind of features...
A novel context matching based technique for web document retrieval (2005)
This paper presents a novel context matching technique for the retrieval of web documents. The aim of the technique is to dynamically generate a context-based measure of document term significance...
Artificial neural network techniques for analysis of ion backscattering spectra (2005)
Li, Michael M., Fan, Xiaolong., Verma, Brijesh., Balsys, Ronald J.
Ion backscattering spectrometry is an analysis technology that is dedicated to the compositional analysis of samples with the thickness of μm level. The problem of spectral data analysis, which is...
Zakos, John., Zhang, Ping., Verma, Brijesh.
In this paper we present an approach based on the application of an evolutionary algorithm to optimally tune the parameters of a novel technique for effective web information retrieval. Context...
Fan, Xiaolong., Verma, Brijesh.
This paper investigates a feature selection and classification technique for face recognition using genetic algorithms and artificial neural networks. The experiments using separate facial features...
Panchal, R. M., Verma, Brijesh.
This paper investigates the significance of combining grey-level based image features and BI-RADS lesion descriptors along with patient age and a subtlety value (radiologists' interpretation) for the...
Zhang, Ping., Verma, Brijesh., Kumar, Kuldeep.
Digital mammography is one of the most suitable methods for early detection of breast cancer. It uses digital mammograms to find suspicious areas containing benign and malignant microcalcifications....
Faculty of Informatics and Communication Central Queensland University (2004)
Cairns Converntion Centre, Xiaolong Fan, Brijesh Verma, Bruce Hwy, North Rockhampton
Face recognition: a new feature selection and classification technique
Ghosh, Moumita., Ghosh, Ranadhir., Verma, Brijesh.
In this paper we propose a fully automated offline handwriting recognition system that incorporates rule based segmentation, contour based feature extraction, neural network validation, a hybrid...
Face recognition : a new feature selection and classification technique (2004)
Fan, Xiaolong., Verma, Brijesh.
A novel feature selection and classification technique for face recognition is presented this paper. Genetic Algorithms (GAs) for feature selection and Artificial Neural Network (ANN) for...
Panchal, Rinku., Verma, Brijesh.
This paper presents a novel approach to combine a neural network based auto-associator and a classifier for the classification of microcalcification patterns. It explores the auto-associative and...
Zhang, Ping., Verma, Brijesh., Kumar, K.
Digital mammography is one of the most suitable methods for early detection of breast cancer. It uses digital mammograms to find suspicious areas. However, it is very difficult to distinguish benign...
A feature extraction technique for online handwriting recognition (2004)
Verma, Brijesh., Lu, Jenny., Ghosh, Moumita., Ghosh, Ranadhir.
The paper presents a feature extraction technique for online handwriting recognition. The technique incorporates many characteristics of handwritten characters based on structural, directional and...
A modified direction feature for cursive character recognition (2004)
Blumenstein, Michael., Liu, Xin Yu., Verma, Brijesh.
This paper describes a neural network-based technique for cursive character recognition applicable to segmentation-based word recognition systems. The proposed research builds on a novel feature...
Verma, Brijesh., Kulkarni, Siddhivinayak.
This paper presents a fuzzy-neural approach for interpretation and fusion of colour and texture features for CBIR systems. The presented approach uses fuzzy logic to interpret queries expressed in...
A novel approach for structural feature extraction contour vs. direction (2004)
Verma, Brijesh., Blumenstein, Michael., Ghosh, Moumita.
The paper presents a novel approach for extracting structural features from segmented cursive handwriting. The proposed approach is based on the contour code and stroke direction. The contour code...
A novel approach for structural feature extraction: Contour vs. direction (2004)
Verma, Brijesh, Blumenstein, Michael Myer, Ghosh, Moumita
The paper presents a novel approach for extracting structural features from segmented cursive handwriting. The proposed approach is based on the contour code and stroke direction. The contour code...
Unsupervised Clustering of Texture Features Using SOM and Fourier Transform (2003)
Brijesh Verma, Vallipuram Muthukkumarasamy, Changming He
Texture analysis has a wide range of real-world applications. This paper presents a novel technique for texture feature extraction and compares its performance with a number of other existing...
A texture feature extraction technique using 2D–DFT and hamming distance (2003)
Yu Tao, Vallipuram Muthukkumarasamy, Brijesh Verma, Michael Blumenstein
Texture analysis plays an increasingly important role in computer vision. Since the textural properties of images appear to carry useful information for discrimination purposes, it is important to...
Analysis of segmentation performance on the cedar benchmark database (2001)
Michael Blumenstein, Brijesh Verma
The purpose of this paper is to analyse the performance of our improved segmentation algorithm tested on the CEDAR benchmark database. Segmentation is achieved through the extraction of a wide range...
Michael Blumenstein, Brijesh Verma, Member Of Ieee
Artificial Neural Networks (ANNs) have been successfully applied for pattern recognition, speech recognition, control and other real world problems. This paper presents a method for segmentation of...
Michael Blumenstein, Brijesh Verma
: Artificial Neural Networks (ANNs) have been successfully applied for pattern recognition, speech recognition, control and other real world problems. This paper presents a method for segmentation of...
Fast Training of Multilayer Perceptrons (1997)
Training a multilayer perceptron by an error backpropagation algorithm is slow and uncertain. This paper describes a new approach which is much faster and certain than error backpropagation. The...