15 Result(s)
within
English
Computer Science
Artificial Intelligence
Information Systems Applications (incl. Internet)
Pattern Recognition
Zhigang **
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Chapter and Conference Paper
Real Coded Feature Selection Integrated with Self-adaptive Differential Evolution Algorithm
The current optimization algorithms for feature selection are mostly based on binary coded swarm intelligence algorithms. A novel real coded optimization algorithm which using the weighted distance metric is p...
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Chapter and Conference Paper
Distance Metric Learning-Based Conformal Predictor
In order to improve the computational efficiency of conformal predictor, distance metric learning methods were used in the algorithm. The process of learning was divided into two stages: offline learning and o...
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Chapter and Conference Paper
Discriminative Locality Preserving Canonical Correlation Analysis
In this paper, we propose a novel dimension reduction method based on canonical correlation analysis, called discriminative locality preserving canonical correlation analysis (DLPCCA) method. In particular, we...
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Chapter and Conference Paper
Network Security Situation Assessment Based on Hidden Semi-Markov Model
This paper takes use of the hidden semi-Markov model to evaluate network security situation. HsMM modifies HMM model on the presumption that certain system status dwell time abides with exponential distributio...
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Chapter and Conference Paper
Network Security Situation Assessment Based on HMM
Network security situation assessment is the core of situation awareness, and is also a qualitative and quantitative description of network security state. In this paper, the security state and intrusion alarm...
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Chapter and Conference Paper
Network Security Situation Assessment Based on Stochastic Game Model
From the perspective of game theory, this paper studies the information security problem, establishes an offense and defense game model of information security, and puts forward a quantitative evaluation algor...
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Chapter and Conference Paper
Local Clustering Conformal Predictor for Imbalanced Data Classification
The recently developed Conformal Predictor (CP) can provide calibrated confidence for prediction which is out of the traditional predictors’ capacity. However, CP works for balanced data and fails in the case ...
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Chapter and Conference Paper
Glaucus: Predicting Computing-Intensive Program’s Performance for Cloud Customers
As Cloud computing has gained much popularity recently, many organizations consider transmitting their large-scale computing-intensive programs to cloud. However, cloud service market is still in its infant st...
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Chapter and Conference Paper
A Multi-Instance Multi-Label Learning Approach for Protein Domain Annotation
Domains act as structural and functional units of proteins, playing an essential role in functional genomics. To investigate the annotation of finite protein domains is of much importance because the functions...
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Chapter and Conference Paper
Structure-Based Prediction of Protein Phosphorylation Sites Using an Ensemble Approach
As one of the most prevailing post-translational modifications, phosphorylation is vital in regulating almost every cellular behavior. In this paper, we propose a new computational method that can effectively ...
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Chapter and Conference Paper
A Fractional-Order Chaotic Circuit Based on Memristor and Its Generalized Projective Synchronization
In this paper, we generalize the integer-order chua circuit model based on memristor into the fractional-order domain. The new fractional-order circuit can generate complex chaotic behavior. Based on the stabi...
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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
Dimensionality Reduction for Hyperspectral Image Based on Manifold Learning
A novel dimensionality reduction method named spectral angle and geodesic distance-based locality preserving projection (SAGD-LPP) was proposed in this paper. Considering the physical characters of hyperspectr...
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Chapter and Conference Paper
Mobile Panoramic Vision for Assisting the Blind via Indexing and Localization
In this paper, we propose a first-person localization and navigation system for hel** blind and visually-impaired people navigate in indoor environments. The system consists of a mobile vision front end with...
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Chapter and Conference Paper
Face Recognition by 3D Registration for the Visually Impaired Using a RGB-D Sensor
To help visually impaired people recognize people in their daily life, a 3D face feature registration approach is proposed with a RGB-D sensor. Compared to 2D face recognition methods, 3D data based approaches...
