757 Result(s)
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Chapter and Conference Paper
Toward global solution to MAP image estimation: Using Common structure of local solutions
The maximum a posteriori (MAP) principle is often used in image restoration and segmentation to define the optimal solution when both the prior and likelihood distributions are available. MAP estimation is equ...
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Chapter and Conference Paper
Transductive Learning: Learning Iris Data with Two Labeled Data
This paper presents two graph-based algorithms for solving the transductive learning problem. Stochastic contraction algorithms with similarity based sampling and normalized similarity based sampling are intro...
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Chapter and Conference Paper
Fusing Images with Multiple Focuses Using Support Vector Machines
Optical lenses, particularly those with long focal lengths, suffer from the problem of limited depth of field. Consequently, it is often difficult to obtain good focus for all the objects in the scene. One app...
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Chapter and Conference Paper
Multi-Class SVM Classifier Based on Pairwise Coupling
In this paper, a novel structure is proposed to extend standard support vector classifier to multi-class cases. For a K-class classification task, an array of K optimal pairwise coupling classifier (O-PWC) is con...
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Chapter and Conference Paper
A New Cache Replacement Algorithm in SMO
In the methods for training Support Vector Machines (SVM), precomputed elements in the Hessian matrix are usually cached in order to avoid recomputation. However, the least-recent-used replacement algorithm th...
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Chapter and Conference Paper
Protein Metal Binding Residue Prediction Based on Neural Networks
It is known that over one-third of protein structures contain metal ions, and they are the necessary elements in life system. Traditionally, structural biologists used to investigate properties of metalloprote...
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Chapter and Conference Paper
A Partheno-genetic Algorithm for Combinatorial Optimization
Genetic Algorithms (GA) Using ordinal strings for combinatorial optimization must use special crossover operators such as PMX, OX and CX, instead of general crossover operators. Considering the above deficienc...
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Chapter and Conference Paper
A Fast MPEG4 Video Encryption Scheme Based on Chaotic Neural Network
In this paper, a fast video encryption scheme is proposed, which combines encryption process with MPEG4 encoding. This scheme encrypts video object layers (VOLs) selectively. That is, the motion vectors, subba...
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Chapter and Conference Paper
A Genetic Algorithm for Solving Portfolio Optimization Problems with Transaction Costs and Minimum Transaction Lots
A mean-variance model is proposed for portfolio rebalancing optimization problems with transaction costs and minimum transaction lots. The portfolio optimization problems are modeled as a non-smooth nonlinear ...
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Chapter and Conference Paper
Application of Chaotic Neural Model Based on Olfactory System on Pattern Recognitions
This paper presents a simulation of a biological olfactory neural system with a KIII set, which is a high-dimensional chaotic neural network. The KIII set differs from conventional artificial neural networks b...
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Chapter and Conference Paper
Data Fusion for Fault Diagnosis Using Dempster-Shafer Theory Based Multi-class SVMs
The multi-class probability SVM (MPSVM) is designed by training the sigmoid function to map the output of each binary class SVM into a posterior probability, and then combining these learned binary-class PSVMs...
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Chapter and Conference Paper
3D Polar-Radius Invariant Moments and Structure Moment Invariants
A novel moment, called 3D polar-radius-invariant-moment, is proposed for the 3D object recognition and classification. Some properties of these new moments including the invariance on translation, scale and ro...
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Chapter and Conference Paper
A SAR Image Despeckling Method Based on Dual Tree Complex Wavelet Transform
Based on the dual tree complex wavelet transform and edge detection, a SAR image despeckling algorithm is proposed. It can be used to remove white Gauss additive noise (WGAN) too. The DT-CWT has the properties...
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Chapter and Conference Paper
A Gradual Training Algorithm of Incremental Support Vector Machine Learning
Support Vector Machine(SVM) has become a popular tool for learning with large amounts of high dimensional data, but sometimes we prefer to incremental learning algorithms to handle very vast data for training ...
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Chapter and Conference Paper
SVM Regression and Its Application to Image Compression
This paper proposes a new image compression algorithm which combines SVM regression with wavelet transform. Compression is achieved by using SVM regression to approximate wavelet coefficients. Based on the cha...
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Chapter and Conference Paper
Prediction of Protein Subcellular Locations Using Support Vector Machines
In this paper,we constructed a data set of rice proteins with known locations from SWISS-PROT,using the Support Vector Machine to predicte the type of a given rice protein by incorporating sequence information...
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Chapter and Conference Paper
An Application of Pattern Recognition Based on Optimized RBF-DDA Neural Networks
An algorithm of Dynamic Decay Adjustment Radial Basis Function (RBF-DDA) neural networks is presented. It can adaptively get the number of the hidden layer nodes and the center values of data. It resolve the p...
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Chapter and Conference Paper
Semi-active Control for Eccentric Structures with MR Damper by Hybrid Intelligent Algorithm
In this paper, an application of hybrid intelligent control algorithm to semi-active Control of the MR Damper is presented for engineering structures. The control signal is optimized directly by the μGA approach ...
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Chapter and Conference Paper
Retrieving Digital Artifacts from Digital Libraries Semantically
The techniques for organizing and retrieving the artifacts from digital libraries (DLs) semantically are discussed, which include letting the taxonomies and semantic relations work in tandem to index the artif...
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Chapter and Conference Paper
An Agent-Based Soft Computing Society with Application in the Management of Establishment of Hydraulic Fracture in Oil Field
Establishment of Hydraulic Fracture in Oil field is a complicated system. The process of establishment of project involves many departments, which frequently interact each other. In general, The Orient-Object ...