103 Result(s)
within
English
Artificial Intelligence
Data Mining and Knowledge Discovery
Zhigang **
Computer Science
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Article
A palm vein identification system based on Gabor wavelet features
As a new and promising biometric feature, thermal palm vein pattern has drawn lots of attention in research and application areas. Many algorithms have been proposed for authentication since palm vein has spec...
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Article
Special issue on ICONIP 2012
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Chapter and Conference Paper
Analysis on a Multi-objective Binary Disperse Bacterial Colony Chemotaxis Algorithm and Its Convergence
A simple, convenient and efficient multi-objective binary disperse optimized bacterial colony chemotaxis algorithm (MDOBCC) is proposed, in which the Disp(disperse update mechanism) is defined to handle 0-1 di...
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Chapter and Conference Paper
Multi-step Predictions of Landslide Displacements Based on Echo State Network
Time series prediction theory and methods can be applied to many practical problems, such as the early warning of landslide hazard. Most already existing time series prediction methods cannot be effectively ap...
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Article
A new short-term load forecasting method of power system based on EEMD and SS-PSO
Aiming to the disadvantages of short-term load forecasting with empirical mode decomposition (EMD) such as mode mixing and many high-frequency random components, a new short-term load forecasting model based o...
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Article
Global robust stability of uncertain delayed neural networks with discontinuous neuron activation
This paper integrates global robust stability of uncertain delay neural networks with discontinuous activation. The activation function is unbounded and the uncertainties are norm bound. By the homotopy invari...
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Article
Analysis and design of winner-take-all behavior based on a novel memristive neural network
In this paper, some sufficient conditions are derived to guarantee a novel memristive neural network for realizing winner-take-all behavior. Some design methods for synthesizing the winner-take-all behavior ba...
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Chapter and Conference Paper
Semi-supervised Non-negative Local Coordinate Factorization
Non-negative matrix factorization (NMF) is a popular matrix decomposition technique that has attracted extensive attentions from data mining community. However, NMF suffers from the following deficiencies: (1)...
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Chapter and Conference Paper
A Hybrid Algorithm Based on Tabu Search and Chemical Reaction Optimization for 0-1 Knapsack Problem
The 0-1 knapsack problem(01KP) is a well-known NP-complete problem in combinatorial optimization problems. There exist different approaches employed to solve the problem such as brute force, dynamic programmin...
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Chapter and Conference Paper
Pricing in Social Networks with Negative Externalities
We study the problems of pricing an indivisible product to consumers who are embedded in a given social network. The goal is to maximize the revenue of the seller. We assume impatient consumers who buy the pro...
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Article
Incremental multiple instance outlier detection
I-MLOF algorithm is an extension of local outlier factor (LOF) algorithm in multiple instance (MI) setting. The task of I-MLOF is to identify MI outlier. However, I-MLOF algorithm works in batch mode, where a...
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Chapter and Conference Paper
Event Detection with Convolutional Neural Networks for Forensic Investigation
Traditional approaches rely on domain expertise to acquire complicated features. Meanwhile, existing Natural Language Processing (NLP) tools and techniques are not competent to extract information from digital...
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Chapter and Conference Paper
Domain Specific Cross-Lingual Knowledge Linking Based on Similarity Flooding
The global knowledge sharing makes large-scale multi-lingual knowledge bases an extremely valuable resource in the Big Data era. However, current mainstream multi-lingual ontologies based on online wikis still...
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Chapter and Conference Paper
Boosting to Build a Large-Scale Cross-Lingual Ontology
The global knowledge sharing makes large-scale multi-lingual knowledge bases an extremely valuable resource in the Big Data era. However, current mainstream Wikipedia-based multi-lingual ontologies still face ...
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Article
Application of multi-gene genetic programming based on separable functional network for landslide displacement prediction
Complexity of analysis of landslide hazard is due to uncertainty. In this study, a novel approach multi-gene genetic programming based on separable functional network (MGGPSFN) is presented for predicting land...
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Chapter and Conference Paper
Robot Path Planning Based on A Hybrid Approach
In this paper, an optimal method based on combination of improved genetic algorithm (IGA) and improved artificial potential field (IAPF) for path planning of mobile robot is proposed. This method consists of t...
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Chapter and Conference Paper
A Novel Recommendation Service Method Based on Cloud Model and User Personality
The number of Internet Web services has become increasingly large recently. Cloud services consumers face a critical challenge in selecting services from abundant candidates. Due to the uncertainty of Web serv...
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Chapter and Conference Paper
Classifying Non-linear Gene Expression Data Using a Novel Hybrid Rotation Forest Method
Rotation forest (RoF) is an ensemble classifier based on the combination of linear analysis theories and decision tree algorithms. In existing works, the RoF has demonstrated high classification accuracy and g...
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Chapter and Conference Paper
A New Cuckoo Search
In this paper, we intend to formulate a new Cuckoo Search (NCS) for solving optimization problems. This algorithm is based on the obligate brood parasitic behavior of some cuckoo species in combination with th...
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Chapter and Conference Paper
Secured Privacy Preserving Data Aggregation with Semi-honest Servers
With the large deployment of smart devices, the collections and analysis of user data significantly benefit both industry and people’s daily life. However, it has showed a serious risk to people’s privacy in t...
