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This book - in conjunction with the two volumes CCIS 0015 and LNAI 5226 - constitutes the refereed proceedings of the 4th International Conference on Intelligent Computing, ICIC 2008, held in Shanghai, China, in September 2008.
The 152 revised full papers of this volume were carefully reviewed and selected from a total of 2336 submissions. The papers are organized in topical sections on biological and quantum computing, intelligent computing in bioinformatics, computational genomics and proteomics, intelligent computing in signal processing, intelligent computing in pattern recognition, intelligent computing in communication, intelligent agent and web applications, intelligent fault diagnosis, intelligent control and automation, intelligent data fusion and security, intelligent prediction and time series analysis, natural language processing and expert systems, intelligent image/document retrievals, network-based intelligence and automation, intelligent robot systems based on vision technology, and computational intelligence for image analysis.
Klappentext
The International Conference on Intelligent Computing (ICIC) was formed to p- vide an annual forum dedicated to the emerging and challenging topics in artificial intelligence, machine learning, bioinformatics, and computational biology, etc. It aims to bring together researchers and practitioners from both academia and ind- try to share ideas, problems and solutions related to the multifaceted aspects of intelligent computing. ICIC 2008, held in Shanghai, China, September 15-18, 2008, constituted the 4th International Conference on Intelligent Computing. It built upon the success of ICIC 2007, ICIC 2006 and ICIC 2005 held in Qingdao, Kunming and Hefei, China, 2007, 2006 and 2005, respectively. This year, the conference concentrated mainly on the theories and methodologies as well as the emerging applications of intelligent computing. Its aim was to unify the picture of contemporary intelligent computing techniques as an integral concept that highlights the trends in advanced computational intelligence and bridges theoretical research with applications. Therefore, the theme for this conference was "Emerging Intelligent Computing Technology and Applications". Papers focusing on this theme were solicited, addressing theories, methodologies, and applications in science and technology.
Inhalt
Biological and Quantum Computing.- Some Observations on Two-Way Finite Automata with Quantum and Classical States.- Design of DNA Sequence Based on Improved Genetic Algorithm.- Bijective Digital Error-Control Coding, Part I: The Reversible Viterbi Algorithm.- Bijective Digital Error-Control Coding, Part II: Quantum Viterbi Circuit Synthesis.- A Hybrid Quantum-Inspired Evolutionary Algorithm for Capacitated Vehicle Routing Problem.- Intelligent Computing in Bioinformatics.- Improving Tumor Clustering Based on Gene Selection.- A Hybrid Intelligent Algorithm for the Vehicle Routing with Time Windows.- A Biological Intelligent Access Control System Based on DSP and NIR Technology.- An Improved Support Vector Machine for the Classification of Imbalanced Biological Datasets.- Prediction of Protein Homo-oligomer Types with a Novel Approach of Glide Zoom Window Feature Extraction.- Multi-layer Ensemble Classifiers on Protein Secondary Structure Prediction.- Predicting Cytokines Based on Dipeptide and Length Feature.- A New Unsupervised Approach to Face Recognition.- Human Motion Analysis Using Eroded and Restored Skeletons.- Activities Prediction of Drug Molecules by Using the Optimal Ensemble Based on Uniform Design.- Prediction of RNA-Binding Residues in Proteins Using the Interaction Propensities of Amino Acids and Nucleotides.- EMD Approach to Multichannel EEG Data - The Amplitude and Phase Synchrony Analysis Technique.- Prediction of Binding Sites in HCV Protein Complexes Using a Support Vector Machine.- Identification of Co-regulated Signature Genes in Pancreas Cancer- A Data Mining Approach.- Neighborhood Rough Set Model Based Gene Selection for Multi-subtype Tumor Classification.- Poisson-Based Self-Organizing Neural Networks for Pattern Discovery.- Computational Genomics and Proteomics.- Proteome-Wide Analysis of Amino Acid Absence in Composition and Plasticity.- Optimal Accurate Minkowski Sum Approximation of Polyhedral Models.- Fuzzy C-Means Based DNA Motif Discovery.- Find Key m/z Values in Predication of Mass Spectrometry Cancer Data.- Protein Secondary Structure Prediction Based on Ramachandran Maps.- Probe Selection with Fault Tolerance.- Intelligent Computing in Signal Processing.- Image Reconstruction Using a Modified Sparse Coding Technique.- Application of Optimization Technique for GPS Navigation Kalman Filter Adaptation.- Optimal Design of Passive Power Filters Based on Multi-objective Cultural Algorithms.- Robust Image Watermarking Scheme with General Regression Neural Network and FCM Algorithm.- Research on Sampling Methods in Particle Filtering Based upon Microstructure of State Variable.- Knowledge-Supported Segmentation and Semantic Contents Extraction from MPEG Videos for Highlight-Based Annotation, Indexing and Retrieval.- Parallel Lossless Data Compression: A Particle Dynamic Approach.- Ball Mill Load Measurement Using Self-adaptive Feature Extraction Method and LS-SVM Model.- Object Recognition with Task Relevant Combined Local Features.- Scheme Implement for Rendering of Chinese Paintings Ink Fluid Style.- Nonnegative Tensor Factorization with Smoothness Constraints.- A Minimum Zone Method for Evaluating Straightness Errors Using PSO Algorithm.- Intelligent Computing in Pattern Recognition.- A Supervised PLS Information Recognition Algorithm.- A Novel Numerical Random Model of Short Fiber Reinforced Foams.- Robust Wide Baseline Feature Point Matching Based on Scale Invariant Feature Descriptor.- Detection and Recognition of Scoreboard for Baseball Videos.- A Heuristic Approach to Caption Enhancement for Effective Video OCR.- A New Ear Recognition Approach for Personal Identification.- An FSM-Based Approach for Malicious Code Detection Using the Self-Relocation Gene.- WTSPMiner: Efficiently Mining Weighted Sequential Patterns from Directed Graph Traversals.- Reliable Probabilistic Classification and Its Application to Internet Traffic.- A New Decision Rule for Statistical Word Sense Disambiguation.- A Vicarious Words Method for Word Sense Discrimination.- New Algorithm for Determining Object Attitude Based on Trapezoid Feature.- Curvature Feature Based Shape Analysis.- A Study on the P3P Problem.- Face Verification Based on AdaBoost Learning for Histogram of Gabor Phase Patterns (HGPP) Selection and Samples Synthesis with Quotient Image Method.- Predicting Epileptic Seizure by Recurrence Quantification Analysis of Single-Channel EEG.- Double Sides 2DPCA for Face Recognition.- Ear Recognition with Variant Poses Using Locally Linear Embedding.- Motion Detection with Background Clutter Suppression Based on KDE Model.- Fingerprint Scaling.- A Novel Classifier Based on Enhanced Lipschitz Embedding for Speech Emotion Recognition.- GPU Implementation of a Clustering Based Image Registration.- Prediction of Aortic Diameter Values in Healthy Turkish Infants, Children and Adolescents Via Adaptive Network Based Fuzzy Inference System.- Feature Extraction and Classification for Graphical Representations of Data.- Improving Depth Resolution of Diffuse Optical Tomography with Intelligent Method.- Research on Optimum Position for Straight Lines Model.- Choosing Business Collaborators Using Computing Intelligence Methods.- Generation of Multiple Background Model by Estimated Camera Motion Using Edge Segments.- Cross Ratio-Based Refinement of Local Features for Building Recognition.- The Competitive EM Algorithm for Gaussian Mixtures with BYY Harmony Criterion.- Method of Face Recognition Based on Red-Black Wavelet Transform and PCA.- Automatic Straight Line Detection throug…