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1,495 Result(s)
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Chapter and Conference Paper
Segmentation of range images: A neural network approach
In this paper we present a neural computation model for histogram based range image segmentation. An optimal thresholding vector for the range histogram is determined. The number of elements in the vector is c...
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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
A New Genetic Algorithm for the Optimal Communication Spanning Tree Problem
This paper proposes a new genetic algorithm to solve the Optimal Communication Spanning Tree problem. The proposed algorithm works on a tree chromosome without intermediate encoding and decoding, and uses cros...
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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
The Behavior of the Complex Integral Neural Network
In this paper, we introduce an Integral Neural Network based on complex domain. We describe the model of the neuron, analyze the behavior of the neuron, and indicate that in certain conditions it performs the ...
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Chapter and Conference Paper
User Profile Model: A View from Artificial Intelligence
The goal of this paper is to develop a user profile model for agent-based information filtering. We try to formalize the whole process of information filtering from an Artificial Intelligence point view. This ...
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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
λ-Connected Approximations for Rough Sets
Rough sets was first studied by Pawlak to describe the approximation of a set X by using its lower bound L(X) and upper bound U(X). λ-connectedness was originally proposed as a technique to search layers in 2D or...
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Chapter and Conference Paper
A Hybrid Intrusion Detection Strategy Used for Web Security
This paper describes a novel framework for intrusion detection systems used for Web security. A hierarchical structure was proposed to gain both server-based detection and network-based detection. The system c...
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Chapter and Conference Paper
A Maximal Frequent Itemset Algorithm
We present MinMax, a new algorithm for mining maximal frequent itemsets(MFI) from a transaction database. It is based on depth-first traversal and iterative. It combines a vertical tidset representation of the...
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Chapter and Conference Paper
Probabilistic Rough Sets Characterized by Fuzzy Sets
In this paper, fuzziness in probabilistic rough set is studied by fuzzy sets. we show that the variable precision approximation of a probabilistic rough set can be generalized from the vantage point of the cut...
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Chapter and Conference Paper
An Improved Quantum Genetic Algorithm and Its Application
An improved quantum genetic algorithm (IQGA) is proposed in this paper. In IQGA, the strategies of updating quantum gate by using the best solution and introducing population catastrope are used. The typical f...
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Chapter and Conference Paper
A Kind of Linearization Method in Fuzzy Control System Modeling
A kind of linearization method in fuzzy control system modeling is proposed, in order to deal with the nonlinear model with variable coefficients. The method can turn a nonlinear model with variable coefficien...
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Chapter and Conference Paper
A Distributed Multidimensional Data Model of Data Warehouse
The base fact tables of a data warehouse are generally of huge size. In order to shorten query response time and to improve maintenance performance, a base fact table is generally partitioned into multiple ins...
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Chapter and Conference Paper
Extended Random Sets for Knowledge Discovery in Information Systems
In this paper, we discuss the problem of knowledge discovery in information systems. A model is presented for users to obtain either “objective” interesting rules or “subjective” judgments of meaningful descri...
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Chapter and Conference Paper
Interpolation Techniques for Geo-spatial Association Rule Mining
Association rule mining has become an important component of information processing systems due to significant increase in its applications. In this paper, our main objective is to find which interpolation app...
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Chapter and Conference Paper
Research of Atomic and Anonymous Electronic Commerce Protocol
Atomicity and anonymity are the two important requirements for application in electronic commerce. However absolutely anonymity may lead to confliction with law enforcement, e.g. blackmailing or money launderi...
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Chapter and Conference Paper
Application of Fuzzy Support Vector Machines in Short-Term Load Forecasting
A new method using Fuzzy Support Vector Machines (FSVM) is presented for Short-Term Load Forecasting (STLF). In many regression problems, the effects of the training points are different. It is often that some...