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Chapter and Conference Paper
Post-it: Augmented Reality Based Group Recommendation with Item Replacement
AR shop** has attracted significant attention with the emergence of popular AR applications, e.g., IKEA Place and Nike AR Fit. However, most AR stores merely provide auxiliary information for each user, inst...
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Chapter and Conference Paper
An Accurate Online Non-rigid Structure from Motion Algorithm
So far, most existing non-rigid structure from motion (NRSFM) problems are solved by the batch algorithm. In this paper, a more accurate online NRSFM is proposed based on the differential evolution (DE) algori...
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Chapter and Conference Paper
Design and Analysis of Missile Two-Loop Autopilot with Angle of Attack Feedback
In order to eliminate the static error of the classic two loop autopilot, the PI compensator is introduced into the control system. To enhance the robustness of two loop autopilot with PI compensator, an angle...
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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
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
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...