1,798 Result(s)
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Chapter and Conference Paper
Unsupervised Learning: Self-aggregation in Scaled Principal Component Space*
We demonstrate that data clustering amounts to a dynamic process of self-aggregation in which data objects move towards each other to form clusters, revealing the inherent pattern of similarity. Selfaggregation i...
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Chapter and Conference Paper
Face Detection Based on Cost-Sensitive Support Vector Machines
This paper presents a method of detecting faces based on cost-sensitive Support Vector Machines (SVM). In our method, different costs are given to the misclassification of having a face missed and having a fal...
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Chapter and Conference Paper
Feature Weights Determining of Pattern Classification by Using a Rough Genetic Algorithm with Fuzzy Similarity Measure
The classification problem is one of the typical problems encountered in data mining and machine learning. In this paper, a rough genetic algorithm (RGA) is applied to the classification problem in an undeterm...
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Chapter and Conference Paper
User Profiling for Intrusion Detection Using Dynamic and Static Behavioral Models
Intrusion detection has emerged as an important approach to network security. In this paper, we adopt an anomaly detection approach by detecting possible intrusions based on user profiles built from normal usa...
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Chapter and Conference Paper
The Lattice Property of Fuzzy Rough Sets
In this paper we modify the result in [2], discuss the lattice property of fuzzy rough sets and introduce lattice isomorphism from the equivalence class of fuzzy rough sets to intuitionistic fuzzy sets. The resul...
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Chapter and Conference Paper
Towards a Terabyte Digital Library System
In China-US Million Book Digital Library, output of the digitalization process is more than one terabyte of text in OEB and PDF format. To access these data quickly and accurately, we are develo** a distribu...
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Chapter and Conference Paper
On Programming Information Agent Systems – An Integrated Hotel Reservation Service as Case Study
This paper presents our integrated hotel reservation service. Using it as a case study, we discuss the design and implementation of agent-based information systems. Taking a system as a whole, we consider not ...
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Chapter and Conference Paper
A Real-Time Multisensory Image Segmentation Algorithm with an Application to Visual and X-Ray Inspection
A new multisensory image segmentation algorithm is presented. In this algorithm, the images from different sensors are segmented in a sequential manner using curve evolution methods. There are no fusion rules ...
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Chapter and Conference Paper
DSTTMOD: A Future Trajectory Based Moving Objects Database
In this paper, a new moving objects database model – Discrete Spatio-Temporal Trajectory Based Moving Objects Database (DSTTMOD) model, is put forward. Trajectories are used to represent dynamic attributes of ...
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Chapter and Conference Paper
Recursive Approach for Real-Time Blind Source Separation of Acoustic Signals
In this paper we propose and investigate a recursive approach for blind source separations (BSS) or/and for independent component analyses (ICA). Based on this approach we present a deterministic (without a st...
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Chapter and Conference Paper
Projection-Based Needle Segmentation in 3D Ultrasound Images
Our method is composed of three steps: The 3D image is projected along an initial direction, and the needle is segmented in the projected image. Using the projection direction and detected 2D needle direction,...
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Chapter and Conference Paper
The Seam Tracking System for Submerged Arc Welding
The structure and the principle of seam tracking for submerged arc welding were introduced in this paper. The method of seam recognition with computer vision was mainly researched when the environmental light ...
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Chapter and Conference Paper
Gravity Data Processing Using ASDPS
The second vertical derivative (2VD) processing in gravity data interpretation plays an important role in qualitative analysis on locating shallow sources that may be linked to potential concealed mineral depo...
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Chapter and Conference Paper
Cluster Structure of K-means Clustering via Principal Component Analysis
K-means clustering is a popular data clustering algorithm. Principal component analysis (PCA) is a widely used statistical technique for dimension reduction. Here we prove that principal ...
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Chapter and Conference Paper
Tracking the Amplitude Variation of Evoked Potential by ICA and WT
Evoked potential (EP) is non-stationary during the recording of electroencephalograph (EEG). This paper promotes a method to track the variation of EP’s amplitude by the application of independent component an...
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Chapter and Conference Paper
Unsupervised Multiscale Image Segmentation Using Wavelet Domain Hidden Markov Tree
In this paper, we have improved the supervised multi-scale texture segmentation (HMTseg), where wavelet domain hidden Markov model is applied to capture the texture feature and a contextual model is employed t...
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Chapter and Conference Paper
Uncertainty Management for Network Constrained Moving Objects
One of the key research issues with moving objects databases (MOD) is the uncertainty management problem. In this paper, we discuss how the uncertainty of network constrained moving objects can be reduced by u...
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Chapter and Conference Paper
Power Plant Boiler Air Preheater Hot Spots Detection System Based on Least Square Support Vector Machines
Air preheater is the important heat exchanger in power plant units. Recombustion accident can be caused by inadequacy combustion of fuel or badly heat-dispersed condition aroused by low air or gas velocity aft...
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Chapter and Conference Paper
Effectiveness of Neural Networks for Prediction of Corporate Financial Distress in China
The study examines the effectiveness of two types of neural networks in predicting corporate financial distress in China. Back-propagation and LVQ neural networks are considered. The neural networks are compar...
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Chapter and Conference Paper
Non-stationary Fault Diagnosis Based on Local-Wave Neural Network
In view of non-stationary and non-linearity of vibration signal from machine surface, a new method, which is called Local-Wave Method (LWM), is presented to decompose it into number of Intrinsic Mode Weighs (I...
