113 Result(s)
within
English
Artificial Intelligence
Computation by Abstract Devices
Pattern Recognition
Programming Techniques
**hu Li
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Chapter and Conference Paper
A New Genetic Algorithm for the Optimal Communication Spanning Tree Problem
This paper proposes a new genetic algorithm to solve the Optimal Communication Spanning Tree problem. The proposed algorithm works on a tree chromosome without intermediate encoding and decoding, and uses cros...
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Chapter and Conference Paper
Multi-logic-Unit Processor: A Combinational Logic Circuit Evaluation Engine for Genetic Parallel Programming
Genetic Parallel Programming (GPP) is a novel Genetic Programming paradigm. GPP Logic Circuit Synthesizer (GPPLCS) is a combinational logic circuit learning system based on GPP. The GPPLCS comprises a Multi-Lo...
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Chapter and Conference Paper
Evolve Schema Directly Using Instruction Matrix Based Genetic Programming
This paper proposes a new architecture for tree-based genetic programming to evolve schema directly. It uses fixed length hs-expressions to represent program trees, keeps schema information in an instruction m...
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Chapter and Conference Paper
Optimizing the Initialization of Dynamic Decision Heuristics in DPLL SAT Solvers Using Genetic Programming
The Boolean satisfiability problem (SAT) has many applications in electronic design automation (EDA) as well as theoretical computer science. Most SAT solvers for EDA problems use the DPLL algorithm and confli...
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Chapter and Conference Paper
Data Mining of Genetic Programming Run Logs
We have applied a range of data mining techniques to a data base of log file records created from genetic programming runs on twelve different problems. We have looked for unexpected patterns, or golden nugget...
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Chapter and Conference Paper
Multi-parameter Differential Pressure Flowmeter Nonlinear Calibration Based on SVM
In this paper, a novel modeling method of difference pressure mass flow measurement nonlinear correction based on Support Vector Machine is introduced. Support Vector Machine is a novel machine learning method...
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Chapter and Conference Paper
Local Subspace-Based Denoising for Shot Boundary Detection
Shot boundary detection (SBD) has long been an important problem in content based video analyzing. In existing works, researchers proposed kinds of methods to analyze the continuity of video sequence for SBD. ...
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Chapter and Conference Paper
Find Key m/z Values in Predication of Mass Spectrometry Cancer Data
To find the significant biomarker is very important in detecting protein patterns associated with diseases. In this study multilevel wavelet analysis is performed on high dimensional mass spectrometry data to ...
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Chapter and Conference Paper
Hormone-Inspired Cooperative Control for Multiple UAVs Wide Area Search
Teams of unmanned aerial vehicles (UAVs) are well suited to perform a search mission where multiple unknown targets located over a wide area. It is an important research area in cooperative control. Hormones a...
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Chapter and Conference Paper
Robust Image Watermarking Scheme with General Regression Neural Network and FCM Algorithm
A robust image watermarking method based on general regression neural network (GRNN) and fuzzy c-mean clustering algorithm (FCM) is proposed. In order to keep the balance between robustness and imperceptible, ...
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Chapter and Conference Paper
Fuzzy Interpolative Reasoning Using Interval Type-2 Fuzzy Sets
In this paper, we present a new fuzzy interpolative reasoning method using interval type-2 fuzzy sets. We calculate the ranking values through the reference points and the heights of the upper and the lower me...
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Chapter and Conference Paper
Proposal for Agent Platform Dynamic Interoperation Facilitating Mechanism
Interoperability among agent platforms is important for making full use of each platform’s problem-solving capabilities. It is also crucial to the upper layer interoperations (re-organization, negotiation, etc...
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Chapter and Conference Paper
Integration of Named Entity Information for Chinese Word Segmentation Based on Maximum Entropy
Word segmentation is an essential process in Chinese information processing. Although related researches were reported and made progresses, the Unknown Named Entity (UNE) problem in segmentation is not fully s...
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Chapter and Conference Paper
Document Clustering Based on Spectral Clustering and Non-negative Matrix Factorization
In this paper, we propose a novel non-negative matrix factorization (NMF) to the affinity matrix for document clustering, which enforces non-negativity and orthogonality constraints simultaneously. With the he...
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Chapter and Conference Paper
Prediction of Protein Homo-oligomer Types with a Novel Approach of Glide Zoom Window Feature Extraction
A novel approach of glide zoom window feature extraction based on protein sequence was proposed for predicting protein homo-oligomers. Based on the concept of glide zoom window, three feature vectors of amino ...
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Chapter and Conference Paper
Predicting Cytokines Based on Dipeptide and Length Feature
Cytokines are crucial intercellular regulators that have important physiological roles in a wide range of disease processes. The identification of new cytokines by computational methods can provide valuable cl...
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Chapter and Conference Paper
A Novel Format-Compliant Video Encryption Scheme for H.264/AVC Stream Based on Residual Block Scrambling
For secure stream media applications, block spatial scrambling can be used as a practice video encryption approach. The scrambling approaches commonly used for encryption of H.263/MPEG-4 stream can not be used...
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Chapter and Conference Paper
Neighborhood Rough Set Model Based Gene Selection for Multi-subtype Tumor Classification
Multi-subtype tumor diagnosis based on gene expression profiles is promising in clinical medicine application. Therefore, a great deal of research on tumor classification based on gene expression profiles has ...
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Chapter and Conference Paper
A New Variable-Step LMS Algorithm Based on the Convergence Ratio of Mean-Square Error(MSE)
A new variable step-size(VSS) LMS adaptive algorithm based on the convergence ratio of MSE and the correlation between reference signal and output error is proposed in the paper. Theory analyzing and simulatio...
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Chapter and Conference Paper
A Mutation-Particle Swarm Algorithm for Error-Bounded Polygonal Approximation of Digital Curves
This paper presents a particle swarm optimization algorithm (PSO) to solve error-bounded polygonal approximation of digital curves. Different from the existing PSO-based methods for polygonal approximation pro...
