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Article
A Robust Feature Matching Approach for Photography Originality Test
Nowadays, with the help of photo processing software, it is easy to ‘create’ a photo from other people’s photography works. So, more and more unoriginal photography works have appeared in some photography cont...
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Chapter and Conference Paper
Constrained LDA for Grou** Product Features in Opinion Mining
In opinion mining of product reviews, one often wants to produce a summary of opinions based on product features. However, for the same feature, people can express it with different words and phrases. To produ...
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Chapter and Conference Paper
Feature Subsumption for Sentiment Classification in Multiple Languages
An open problem in machine learning-based sentiment classification is how to extract complex features that outperform simple features; figuring out which types of features are most valuable is another. Most of...
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Article
Duple-EDA and sample density balancing
In this paper, a new method is proposed to overcome the problem of local optima traps in a class of evolutionary algorithms, called estimation of distribution algorithms (EDAs), in real-valued function optimiz...
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Chapter and Conference Paper
Anti-germ Performance Prediction for Detergents Based on Elman Network on Small Data Sets
Anti-germ performance test is critical in the production of detergents. However, actual biochemical tests are often costly and time consuming. In this paper, we present a neural network based model to predict ...
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Chapter and Conference Paper
A Fuzzy Timed Object-Oriented Petri Net for Multi-Agent Systems
In this paper, a multi-agent system (MAS) modeling method called fuzzy timed object-oriented Petri nets (FTOPN) is proposed. FTO-PN has extended Petri nets (PN) supporting object-oriented modeling and temporal...
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Chapter and Conference Paper
Preoperative Surgery Planning for Percutaneous Hepatic Microwave Ablation
A novel preoperative surgery planning method is proposed for percutaneous hepatic microwave ablation. An iterative framework for necrosis field simulation and 3D necrosis zone reconstruction is introduced here...
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Chapter and Conference Paper
TOPN Based Temporal Performance Evaluation Method of Neural Network Based Robot Controller
These years, for some neural network (NN) controller based time critical systems, temporal performance is always required to be evaluated. In order to model complex time critical systems, timed hierarchical ob...
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Chapter and Conference Paper
Inferring Gene Regulatory Networks from Multiple Data Sources Via a Dynamic Bayesian Network with Structural EM
Using our dynamic Bayesian network with structural Expectation Maximization (SEM-DBN), we develop a new framework to model gene regulatory network from both gene expression data and transcriptional factor bind...
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Chapter and Conference Paper
A Rough Set and Fuzzy Neural Petri Net Based Method for Dynamic Knowledge Extraction, Representation and Inference in Cooperative Multiple Robot System
In cooperative multiple robot systems (CMRS), dynamic knowledge representation and inference is the key in scheduling robots to fulfill the cooperation requirements. The first goal of this work is to use rough se...
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Chapter and Conference Paper
A Novel Modeling Method for Cooperative Multi-robot Systems Using Fuzzy Timed Agent Based Petri Nets
This paper proposes a cooperative multi-robot system (CMRS) modeling method called fuzzy timed agent based Petri nets (FTAPN), which has been extended from fuzzy timed object-oriented Petri net (FTOPN). The pr...
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Chapter and Conference Paper
Fuzzy Neural Petri Nets
Fuzzy Petri net (FPN) is a powerful modeling tool for fuzzy production rules based knowledge systems. But it is lack of learning mechanism, which is the main weakness while modeling uncertain knowledge systems...
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Chapter and Conference Paper
Gene Regulatory Network Construction Using Dynamic Bayesian Network (DBN) with Structure Expectation Maximization (SEM)
Discovering gene relationship from gene expression data is a hot topic in the post-genomic era. In recent years, Bayesian network has become a popular method to reconstruct the gene regulatory network due to t...
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Chapter and Conference Paper
Timed Hierarchical Object-Oriented Petri Net-Part I: Basic Concepts and Reachability Analysis
To extend object Petri nets (OPN) for modeling and analyzing complex time critical systems, this paper proposes a high-level Petri net called timed hierarchical object-oriented Petri net (TOPN). In TOPN, a dur...
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Chapter and Conference Paper
A Novel Chamber Scheduling Method in Etching Tools Using Adaptive Neural Networks
Chamber scheduling in etching tools is an important but difficult task in integrated circuit manufacturing. In order to effectively solve such combinatorial optimization problems in etching tools, this paper p...
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Chapter and Conference Paper
A Novel Dynamic Knowledge Extraction Method in Cooperative Multiple Robot System Using Rough Set
Dynamic knowledge extraction is one of the critical problems in dynamic systems especially in cooperative multiple robot systems (CMRS). The knowledge may be fuzzy, because the information from dynamic environ...
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Chapter and Conference Paper
A Neural Network Based Method for Shape Measurement in Steel Plate Forming Robot
Shape measurement is one of the critical problems in manufacturing robot systems. The point coordinates that we get change distinctly, because different objects to be processed own various shape forms. So it i...
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Chapter and Conference Paper
Fuzzy Timed Object-Oriented Petri Net
The goal of this work is to extend a model of timed object-oriented Petri nets (TOPN) to allow modeling and analyzing dynamic systems with timing effect on system information. In the proposed Fuzzy timed objec...
