TAILIEUCHUNG - Chapter 2: Pattern Representation

Chapter 2: Pattern Representation introducts about Data structures for pattern representation, Proximity measures, Size of patterns, Abstractions of the data set , Feature extraction, Feature selection, Evaluation of classifiers. | Chapter 2 Pattern Representation Assoc. Prof. Dr. Duong Tuan Anh Faculty of Computer Science and Engineering, HCMC Univ. of Technology 3/2015 Outline 1. Data structures for pattern representation 2. Proximity measures 3. Size of patterns 4. Abstractions of the data set 5. Feature extraction Fisher’s linear discriminant Principal component analysis (PCA) 6. Feature selection 7. Evaluation of classifiers Pattern representation A pattern is a physical object or an abstraction notion. Depending on the classification problem, distinguishing features of the patterns are used. These features are called attributes. A pattern is the representation of an object by the values taken by the attributes. The choice of attributes and representation of patterns is very important step in pattern classification. A good representation is one which make use of discriminating attributes and also reduces the computational burden in pattern classification. 1. Data structures for pattern .

• Cơ sở dữ liệu
• Pattern Representation
• Data structures for pattern representation
• Proximity measures
• Size of patterns
• Abstractions of the data set
• Feature extraction
• An Improved Extraction
• Pattern Representation Model
• Automatic IE Pattern Acquisition
• báo cáo khoa học
• mô hình ngôn ngữ
• xử lý ngôn ngữ tự nhiên
• Data Representation
• Memory Layout
• Control Structures
• Pattern Matching
• PC Keyboard
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• Basic Concepts
• Measurement
• Representation
• Paradigms
• Metric Methods
• Neural Net Methods
• Statistical Methods
• BMC Bioinformatics
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• Feature engineering
• Entity schema
• A Novel Feature based Approach to Chinese
• Entity Relation Extraction
• Long Papers
• báo cáo ngôn ngữ
• Data integration
• List aggregation
• Mutation patterns
• Chronic lymphocytic leukaemia
• Unsupervised feature extraction
• Principal component analysis
• Variational Bayes
• Posttraumatic stress disorder
• Heart disease
• In silico drug discovery
• Fruit classification
• Image classification
• UIT VinaFuit20
• Vietnamese fruit production
• Alignment free
• Sequence feature
• Feature selection
• Support vector machine
• Disguided face recognition
• Partial occluded face recognition
• Non negative matrix factorization
• Alignment free face recognition
• Locality oriented feature extraction
• Computer Vision
• Imagine processing
• Computer science
• Corners and blobs
• Finding corners
• Amino acid sequence
• Compressive sensing
• Markov transfer matrix
• Information sciences
• Neuro inspired edge feature fusion
• Choquet integrals
• Re aggregation functions
• Protein feature extraction
• CGR curve
• Physicochemical property
• Protein sequences
• Feature reduction
• Knowledge extraction
• Machine learning
• Cancer related transcriptomics
• Event extraction
• Biomedical text
• Deep learning Neural network
• Biomedical text mining
• Information extraction
• K nearest neighbors
• Protein protein interaction
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• tài liệu báo cáo nghiện cứu khoa học
• cách trình bày báo cáo
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• báo cáo hóa học
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• Classifier Combination
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