65 Result(s)
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Article
A High-Level Approach in Network Management
A high-level approach in network management ispresented in this paper. The approach is based on a newnetwork management model, named the K-model, and anetwork management specification language, named K30.This ...
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Chapter and Conference Paper
Principal Component Analysis Neural Network Based Probabilistic Tracking of Unpaved Road
Based on principal component analysis neural network, within a probabilistic framework, we introduce a new Monte Carlo tracking technique for autonomous navigation of land vehicle on unpaved road. The use of s...
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Chapter and Conference Paper
Neural Network Based Online Feature Selection for Vehicle Tracking
Aiming at vehicle tracking with a single moving camera for autonomous driving, this paper presents a strategy of online feature selection combined with related process framework. Detected vehicle can provide m...
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Chapter and Conference Paper
TextCC: New Feed Forward Neural Network for Classifying Documents Instantly
Corner classification (CC) network is a kind of feed forward neural network for instantly document classification. To classify text object instantly, new training algorithm, named as TextCC, for feed forward n...
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Chapter and Conference Paper
Principle for Outputs of Hidden Neurons in CC4 Network
Corner classification (CC) is a kind of algorithms for instantly classification. The feed forward neural network trained by CC algorithm can be used validly by information retrieval, especially online informat...
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Chapter and Conference Paper
Vanishing Point and Gabor Feature Based Multi-resolution On-Road Vehicle Detection
Robust and reliable vehicle detection is a challenging task under the conditions of variable size and distance, various weather and illumination, cluttered background, the relative motion between the host vehi...
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Chapter and Conference Paper
Bandwidth Guaranteed Routing in Wireless Mesh Networks
Interference can make significant impact on the performance of wireless networks. Wireless mesh networks (WMNs) allow multiple orthogonal channels to be used simultaneously in the system and the throughput can...
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Chapter and Conference Paper
Access Scheduling on the Control Channels in TDMA Wireless Mesh Networks
The access scheduling on the control channels in TDMA wireless mesh networks is studied in this paper. The problem is to assign time-slots for each node in the network to access the control channels so that it...
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Chapter
Approximate Frequent Itemset Mining In the Presence of Random Noise
Frequent itemset mining has been a focused theme in data mining research and an important first step in the analysis of data arising in a broad range of applications. The traditional exact model for frequent i...
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Reference Work Entry In depth
Pattern-Growth Methods
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Reference Work Entry In depth
Frequent Itemsets and Association Rules
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Chapter and Conference Paper
Five-Axis Milling Simulation Based on B-rep Model
Formulating the swept volume by a cutter along its path plays an important role in volumetric simulation of five-axis machining. In some cases, the swept volume may experience self-intersection, which is a cru...
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Chapter and Conference Paper
Graph-Based Semi-supervised Feature Selection with Application to Automatic Spam Image Identification
In this paper, we propose a new spectral semi-supervised feature selection criterion called s-Laplacian score. It identifies discriminate features by measuring their capability of preserving both local and glo...
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Chapter and Conference Paper
A Study on the Model of Work-Embedded E-learning
Work-embedded e-learning is a new learning model which not only replaces the age-old model of “learn-then-do” but also is the development of e-learning. The paper concluded two modes of work-embedded learning ...
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Chapter and Conference Paper
An Efficient Intrusion Detection Scheme for Wireless Sensor Networks
As a hot issue, wireless sensor network have gained widely attention. WSNs in general and in nature are unattended and physically reachable from the outside world, they could be vulnerable to physical attacks ...
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Chapter and Conference Paper
Querying Shortest Path Distance with Bounded Errors in Large Graphs
Shortest paths and shortest path distances are important primary queries for users to query in a large graph. In this paper, we propose a new approach to answer shortest path and shortest path distance queries...
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Article
Multi-Source Temporal Data Aggregation in Wireless Sensor Networks
Data aggregation has been emerged as a basic approach in wireless sensor networks (WSNs) in order to reduce the number of transmissions of sensor nodes.This paper proposes an energy-efficient multi-source temp...
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Chapter and Conference Paper
Bayesian Network Structure Learning from Attribute Uncertain Data
In recent years there has been a growing interest in Bayesian Network learning from uncertain data. While many researchers focus on Bayesian Network learning from data with tuple uncertainty, Bayesian Network ...
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Chapter and Conference Paper
Robust Sparse PCA via Weighted Elastic Net
In principal component analysis (PCA), ℓ2 /ℓ1-norm is widely used to measure coding residual. In this case, it assume that the residual follows Gaussian/Laplacian distribution. However, it may fail to describe th...
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Chapter and Conference Paper
Frequent Subgraph Summarization with Error Control
Frequent subgraph mining has been an important research problem in the literature. However, the huge number of discovered frequent subgraphs becomes the bottleneck for exploring and understanding the generated...
