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Chapter and Conference Paper
A New Weighted ARC-SC Approach for Leaf Image Recognition
In this paper, we present a novel feature extraction approach for plant leaf image recognition, which applies the arc length information to replace the Euclidean distance in traditional Shape Context (SC) meth...
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Chapter and Conference Paper
Cryptanalysis of Two Dynamic ID-Based Remote User Authentication Schemes for Multi-server Architecture
In NSS’10, Shao and Chin pointed out that Hsiang and Shih’s dynamic ID-based remote user authentication scheme for multi-server environment has several security flaws and further proposed an improved version w...
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Chapter and Conference Paper
A Scheduling Method of Maintenance Work Based on Dynamic Priority
The scheduling problem of maintenance work on the equipment support station influences the support efficiency, especially for a station which repairs a large number of failed items from more than one subordina...
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Chapter and Conference Paper
An Quadtree Coding in E-chart
With the development of IT and traffic logistics in sea, more function and performance of electronic chart (E-chart) in the navigation is needed. In the meantime, the requirement for high performance E-chart, ...
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Chapter and Conference Paper
Application Oriented Semantic Multi-touch Gesture Description Method
To make multi-touch gestures better fit applications and facilitate the recognition of multi-touch gestures, this paper presents an application oriented semantic multi-touch gesture description method. Multi-t...
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Chapter and Conference Paper
A Novel Local Sensitive Frontier Analysis for Feature Extraction
In this paper, an efficient feature extraction method, named local sensitive frontier analysis (LSFA), is proposed. LSFA tries to find instances near the crossing of the multi-manifold, which are sensitive to ...
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Chapter and Conference Paper
Gender Recognition from Gait Using Radon Transform and Relevant Component Analysis
In this paper, a new method for gender recognition via gait silhouettes is proposed. In the feature extraction process, Radon transform on all the 180 angle degrees is applied to every silhouette to construct ...
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Chapter and Conference Paper
Long-Range Temporal Correlations in the Spontaneous in vivo Activity of Interneuron in the Mouse Hippocampus
The spontaneous in vivo firings of neuron in mouse hippocampus are generally considered as neuronal noise, where there is no any correlation in the inter-spike interval (ISI) sequences. In the present study, w...
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Chapter and Conference Paper
Investment Selection and Risk Management for Insurance Corporation
The problems related to the investment selection and risk management are very important for the insurance corporation and are considered in this paper. When performing the investment selection and risk managem...
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Chapter and Conference Paper
Pattern Recognition Based on Stability of Discrete Time Cellular Neural Networks
In this paper, some sufficient conditions are obtained to guarantee that discrete time cellular neural networks (DTCNNs) can have some stable memory patterns. These conditions can be directly derived from the ...
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Chapter and Conference Paper
Multiple Classifiers Fusion System Based on the Radial Basis Probabilistic Neural Networks
The fusion system designing of multiple classifiers, which is based on the radial basis probabilistic neural network (RBPNN), is discussed in this paper. By means of the proposed design method, the complex str...
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Chapter and Conference Paper
Stability Analysis of Discrete-Time Cellular Neural Networks
Discrete-time cellular neural networks (DTCNNs) are formulated and studied in this paper. Several sufficient conditions are obtained to ensure the global stability of DTCNNs with delays based on comparison met...
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Chapter and Conference Paper
A Novel Clustering Analysis Based on PCA and SOMs for Gene Expression Patterns
This paper proposes a novel clustering analysis algorithm based on principal component analysis (PCA) and self-organizing maps (SOMs) for clustering the gene expression patterns. This algorithm uses the PCA te...
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Chapter and Conference Paper
A Novel Hybrid GA/SVM System for Protein Sequences Classification
A novel hybrid genetic algorithm(GA)/Support Vector Machine (SVM) system, which selects features from the protein sequences and trains the SVM classifier simultaneously using a multi-objective genetic algorith...
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Chapter and Conference Paper
Global Convergence of Steepest Descent for Quadratic Functions
This paper analyzes the effect of momentum on steepest descent training for quadratic performance functions. Some global convergence conditions of the steepest descent algorithm are obtained by directly analyz...