Pattern Recognition : 16th Mexican Conference, MCPR 2024, Xalapa, Mexico, June 19-22, 2024, Proceedings |
Autore | Mezura-Montes Efrén |
Edizione | [1st ed.] |
Pubbl/distr/stampa | Cham : , : Springer, , 2024 |
Descrizione fisica | 1 online resource (406 pages) |
Altri autori (Persone) |
Acosta-MesaHéctor Gabriel
Carrasco-OchoaJesús Ariel Martínez-TrinidadJosé Francisco Olvera-LópezJosé Arturo |
Collana | Lecture Notes in Computer Science Series |
ISBN |
9783031628368
9783031628351 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Intro -- Preface -- Organization -- Contents -- Pattern Recognition and Machine Learning Techniques -- Identification of Spatial Dynamic Patterns of Behavior Using Weighted Voronoi Diagrams -- 1 Introduction -- 2 Weighted Voronoi Diagrams -- 3 Application for SDBA -- 3.1 Data Acquisition -- 3.2 Generation of Weighted Voronoi Diagrams -- 3.3 Data Analysis -- 4 Conclusions -- References -- Pattern Recognition in Road Safety: Uncovering the Latent Causes of Accidents on Mexico's Federal Highways -- 1 Introduction -- 2 Unsupervised Methods -- 2.1 Latent Dirichlet Allocation -- 2.2 K-Means Algorithm -- 3 Methodology -- 3.1 Information Acquisition -- 3.2 Data Pre-processing -- 3.3 Uncovering Latent Patterns -- 3.4 Assessment Metric -- 4 Results -- 4.1 Latent Topics in Accidents -- 4.2 K-Means in Accidents -- 4.3 Comparative Evaluation of Models -- 5 Conclusions -- References -- A Regression Tree as Acquisition Function for Low-Dimensional Optimisation -- 1 Introduction -- 2 Mathematical Framework -- 2.1 A Brownian Process over a d-Simplex -- 2.2 Simplex-Based Regression Tree -- 2.3 Selection Criterion for the Next Simplex to Split -- 3 Results -- 3.1 Comparison with DIRECT -- 3.2 Benchmark Study: Regression Tree vs Evolutionary Algorithms -- 4 Discussion -- 5 Conclusions and Future Work -- References -- Missing Data and Their Effect on Algorithm Selection for the Bin Packing Problem -- 1 Introduction -- 2 Background and Related Work -- 3 Solution Approach -- 3.1 The Instances -- 3.2 Problem Characterization -- 3.3 The Heuristics -- 3.4 Multi-layer Perceptron as an Algorithm Selector -- 4 Experiments and Results -- 4.1 No Treatment on Missing Values -- 4.2 Working only with Complete Cases -- 4.3 Using Data Imputation -- 5 Conclusion -- References -- Statistical Evaluation of CESAMO Encoder for Pattern Preservation in Categorical Data -- 1 Introduction.
2 General Methodology -- 2.1 CESAMO Algorithm -- 2.2 Synthetic Data Generation -- 2.3 Categorical Encoders Evaluation -- 2.4 Л Distribution -- 3 Experimental Results -- 4 Conclusions -- References -- Shortest Reducts Versus Shortest Constructs -- 1 Introduction -- 2 Basic Definitions -- 3 Experimental Evaluation -- 3.1 Experiments with Data Sets Without Noise -- 3.2 Experiments with Noise-Distorted Data Sets -- 4 Conclusions -- References -- Diversity in Genetic Algorithms in the Generation of School Schedules -- 1 Introduction -- 2 Class Schedule Generation Problem -- 3 Genetic Algorithms -- 3.1 Adaptability Function -- 4 Diversity in the Population -- 4.1 Hamming Distance -- 4.2 Jaccard's Similarity Index -- 4.3 Euclidean Distance -- 4.4 Manhattan Distance -- 5 Experimental Setup -- 6 Results -- 7 Conclusions -- References -- Multiobjective Assignment of Citizens to INE Service Modules Using NSGA-II: An Efficient Optimization Approach -- 1 Introduction -- 1.1 Solution Proposal -- 1.2 Related Work -- 2 Methodology -- 2.1 Methodological Framework -- 3 Experimentation -- 3.1 Model Formulation -- 4 Results Analysis -- 5 Conclusions and Future Work -- References -- Feature Engineering for Music/Speech Detection in Costa Rica Radio Broadcast -- 1 Introduction -- 1.1 Related Work -- 1.2 Data and Feature Extraction -- 2 Individual Feature Selection -- 2.1 Low Variance -- 2.2 Lasso -- 2.3 Decision Trees -- 2.4 Principal Component Analissis (PCA) -- 2.5 Mean Absolute Difference -- 2.6 Dispersion Ratio -- 3 Pairwise Feature Selection -- 3.1 Chi-Square Text -- 3.2 Pearson Correlation -- 4 Methodology -- 5 Results and Discussion -- 6 Conclusion -- References -- Towards a Novel Approach for Knowledge Base Population Using Distant Supervision -- 1 Introduction -- 2 Related Work -- 3 Notations -- 4 Proposal -- 4.1 Proposed f Function -- 4.2 Function g Proposed. 5 Experiments -- 5.1 Results -- 6 Conclusions -- References -- Mapping Activities onto a Two-Dimensional Emotions Model for Dog Emotion Recognition Using Inertial Data -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Data Collection -- 3.2 Materials -- 3.3 Feature Engineering -- 3.4 Classification -- 4 Results -- 5 Discussion -- 6 Conclusion -- References -- An Exploratory Study on Machine-Learning-Based Hyper-heuristics for the Knapsack Problem -- 1 Introduction -- 2 Background and Related Work -- 3 Solution Approach -- 3.1 The Features -- 3.2 The Heuristics -- 3.3 The KP Instances -- 3.4 Performance Metrics -- 3.5 Using Machine Learning to Power Hyper-heuristics -- 4 Experimental Results -- 4.1 Analysis of the Success Rate -- 4.2 Analysis of the Normalized Profit -- 5 Conclusion and Future Work -- References -- Computer Vision -- Pattern Recognition of Pupillary Reflex Dynamics to Isoluminescent RGB Chromatic Stimuli -- 1 The Pupil -- 2 Color Vision -- 3 Pupil Detection, Pattern Recognition and Tracking -- 4 Instrumentation -- 5 Experimental Results -- 6 Conclusions and Future Work -- References -- On the Minimal Perimeter Polygon for Digital Objects in the Triangular Tiling -- 1 Introduction -- 2 Preliminaries -- 3 Minimum Perimeter Polygon for Objects in Triangular Tilings -- 4 Canonical Boundary Paths from Boundary Tracing -- 5 MPP Algorithm for Objects with Simple Boundary Paths, in a Triangular Tiling -- 6 Conclusions -- References -- 3BUGS: Representing Building Geometries Extracted from Point Clouds -- 1 Introduction -- 2 Photogrammetric Point Clouds -- 3 3BUGS Template Development -- 4 Building Generation -- 4.1 Manual Building Modeling -- 4.2 Procedural Building Modeling -- 5 Results and Discussion -- 6 Conclusions -- References -- Front-to-Bird's-Eye-View Transformation for Autonomous Vehicles: A Class Imbalance-Based Approach. 1 Introduction -- 2 Methodology -- 2.1 Dataset -- 2.2 Layers-Based Data Augmentation -- 2.3 Models -- 3 Results and Discussion -- 3.1 Weighted Loss-Based Models Performance -- 3.2 Model Performance with the Layered Map Augmentation Method -- 3.3 Generalization of the Models on Unseen Scenarios -- 4 Conclusions and Future Work -- References -- Evaluating the Effectiveness of an AI Model with Transfer of Learning in the Educational Attendance Record -- 1 Introduction -- 2 Database Construction -- 3 Training Through Transfer Learning -- 4 Development of Web Application -- 5 Results -- 6 Conclusions and Future Work -- References -- Multimodal-Attention Fusion for the Detection of Questionable Content in Videos -- 1 Introduction -- 2 Related Work -- 2.1 Analyzing Questionable Content -- 2.2 Multimodal Cross-Attention -- 3 Comic Mischief Dataset -- 4 Multimodal Attention-Head Fusion -- 4.1 Reference Model -- 4.2 Parallel Cross-Attention -- 5 Experiments and Results -- 5.1 Evaluation of Detection Performance -- 5.2 Qualitative Analysis -- 6 Conclusions -- References -- Optimization of Color Dominance Factor by Greedy Algorithm for Leaves and Fruit Segmentation of Tomato Plants -- 1 Introduction -- 2 Method -- 2.1 Color Dominance Algorithm Segmentation -- 2.2 Metrics Performance -- 2.3 Dataset -- 2.4 Greedy Algorithm Proposed -- 3 Results -- 3.1 Comparison with CNN PSPNet Segmentation -- 4 Conclusions and Upcoming Work -- References -- A Robust Content Identification System for Picture-In-Picture Attack Detection Using Trainable Background Removal and Perceptual Hashing Functions -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 System Description -- 4 Experiments and Results -- 4.1 Data Building -- 4.2 Image Detection Model Training -- 4.3 Cutting Data -- 4.4 Background Removal -- 4.5 Comparing Hashes -- 4.6 Results -- 5 Conclusion -- References. Medical Applications of Pattern Recognition -- Detection of Depression Symptoms Through Unsupervised Learning -- 1 Introduction -- 2 Related Work -- 3 Solution Proposal -- 3.1 Data Collection -- 3.2 Exploratory Data Analysis -- 3.3 Implementation of Unsupervised Learning Algorithms -- 3.4 Silhouette Coefficient -- 4 Results -- 4.1 Survey Application -- 4.2 Exploratory Data Analysis -- 4.3 Experimental Results -- 5 Conclusions -- References -- The Role of California Fires in Predicting Valley Fever -- 1 Introduction -- 1.1 Valley Fever Background -- 1.2 Previous Models -- 1.3 Environmental Data -- 2 Methods -- 2.1 Long Short-Term Memory Approach -- 3 Results -- 4 Conclusion -- References -- Recognition of Leukemic Retinopathy Using Knowledge of Diabetic Retinopathy -- 1 Introduction -- 2 Related Work -- 3 Characteristics of the Dataset Used -- 3.1 Dataset -- 3.2 Distribution of the Dataset -- 3.3 Comparison of Lesion Characteristics in Retinopathies -- 4 Proposed Methodology -- 4.1 General Outline of the Proposal -- 4.2 Transfer Learning -- 4.3 Performance Metrics -- 4.4 Integration of the Pre-trained Model in the Proposed Solution -- 5 Results -- 6 Discussion -- 7 Conclusions and Future Work -- References -- Classification of Breast Lesions Using Mammary Sinograms and Deep Learning -- 1 Introduction -- 2 Related Work -- 3 Method -- 3.1 Model Selection -- 3.2 Computer Equipment -- 3.3 Databases -- 3.4 Preprocessing -- 4 Results -- 5 Discussion -- 6 Conclusion -- References -- Ultrasound Bone Surface Segmentation for Hip Joint Arthroscopy: Evaluating a Local Phase-Based and a Rigid Object Filtering in a Simulated Environment -- 1 Introduction -- 2 Material and Methods -- 2.1 Frequency Domain Processing -- 2.2 Bone Surface Detection -- 3 Results -- 4 Discussion -- 5 Conclusions -- References. Comparison of CNNs and ViTs for the Detection of Human Skin Lesions. |
Record Nr. | UNINA-9910865251203321 |
Mezura-Montes Efrén | ||
Cham : , : Springer, , 2024 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Pattern Recognition [[electronic resource] ] : 12th Mexican Conference, MCPR 2020, Morelia, Mexico, June 24–27, 2020, Proceedings / / edited by Karina Mariela Figueroa Mora, Juan Anzurez Marín, Jaime Cerda, Jesús Ariel Carrasco-Ochoa, José Francisco Martínez-Trinidad, José Arturo Olvera-López |
Edizione | [1st ed. 2020.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
Descrizione fisica | 1 online resource (348 pages) |
Disciplina | 006.4 |
Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
Soggetto topico |
Pattern recognition
Artificial intelligence Computers Optical data processing Application software Pattern Recognition Artificial Intelligence Information Systems and Communication Service Image Processing and Computer Vision Computer Applications |
ISBN | 3-030-49076-9 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Pattern Recognition Techniques -- Image Processing and Analysis -- Computer Vision -- Industrial and Medical Applications of Pattern Recognition -- Natural Language Processing and Recognition -- Artificial Intelligence Techniques and Recognition. |
Record Nr. | UNISA-996418307903316 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
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Pattern Recognition : 12th Mexican Conference, MCPR 2020, Morelia, Mexico, June 24–27, 2020, Proceedings / / edited by Karina Mariela Figueroa Mora, Juan Anzurez Marín, Jaime Cerda, Jesús Ariel Carrasco-Ochoa, José Francisco Martínez-Trinidad, José Arturo Olvera-López |
Edizione | [1st ed. 2020.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
Descrizione fisica | 1 online resource (348 pages) |
Disciplina |
006.4
006.3 |
Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
Soggetto topico |
Pattern recognition
Artificial intelligence Computers Optical data processing Application software Pattern Recognition Artificial Intelligence Information Systems and Communication Service Image Processing and Computer Vision Computer Applications |
ISBN | 3-030-49076-9 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Pattern Recognition Techniques -- Image Processing and Analysis -- Computer Vision -- Industrial and Medical Applications of Pattern Recognition -- Natural Language Processing and Recognition -- Artificial Intelligence Techniques and Recognition. |
Record Nr. | UNINA-9910410053603321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Pattern Recognition [[electronic resource] ] : 11th Mexican Conference, MCPR 2019, Querétaro, Mexico, June 26–29, 2019, Proceedings / / edited by Jesús Ariel Carrasco-Ochoa, José Francisco Martínez-Trinidad, José Arturo Olvera-López, Joaquín Salas |
Edizione | [1st ed. 2019.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
Descrizione fisica | 1 online resource (XV, 444 p. 162 illus., 96 illus. in color.) |
Disciplina | 621.3819598 |
Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
Soggetto topico |
Pattern recognition
Artificial intelligence Optical data processing Computer hardware Algorithms Software engineering Pattern Recognition Artificial Intelligence Image Processing and Computer Vision Computer Hardware Algorithm Analysis and Problem Complexity Software Engineering/Programming and Operating Systems |
ISBN | 3-030-21077-4 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Artificial Intelligence Techniques and Recognition -- Computer Vision -- Industrial and Medical Applications of Pattern Recognition -- Image Processing and Analysis -- Pattern Recognition Techniques -- Signal Processing and Analysis -- Natural Language Processing and Recognition. |
Record Nr. | UNISA-996466323803316 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
|
Pattern Recognition : 11th Mexican Conference, MCPR 2019, Querétaro, Mexico, June 26–29, 2019, Proceedings / / edited by Jesús Ariel Carrasco-Ochoa, José Francisco Martínez-Trinidad, José Arturo Olvera-López, Joaquín Salas |
Edizione | [1st ed. 2019.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
Descrizione fisica | 1 online resource (XV, 444 p. 162 illus., 96 illus. in color.) |
Disciplina |
621.3819598
006.3 |
Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
Soggetto topico |
Pattern recognition
Artificial intelligence Optical data processing Computer hardware Algorithms Software engineering Pattern Recognition Artificial Intelligence Image Processing and Computer Vision Computer Hardware Algorithm Analysis and Problem Complexity Software Engineering/Programming and Operating Systems |
ISBN | 3-030-21077-4 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Artificial Intelligence Techniques and Recognition -- Computer Vision -- Industrial and Medical Applications of Pattern Recognition -- Image Processing and Analysis -- Pattern Recognition Techniques -- Signal Processing and Analysis -- Natural Language Processing and Recognition. |
Record Nr. | UNINA-9910337840703321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Pattern Recognition [[electronic resource] ] : 10th Mexican Conference, MCPR 2018, Puebla, Mexico, June 27-30, 2018, Proceedings / / edited by José Francisco Martínez-Trinidad, Jesús Ariel Carrasco-Ochoa, José Arturo Olvera-López, Sudeep Sarkar |
Edizione | [1st ed. 2018.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
Descrizione fisica | 1 online resource (XI, 288 p. 113 illus.) |
Disciplina | 006.3 |
Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
Soggetto topico |
Pattern recognition
Artificial intelligence Optical data processing Pattern Recognition Artificial Intelligence Image Processing and Computer Vision |
ISBN | 3-319-92198-3 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Pattern Recognition Principles -- Patterns of Go gaming by Ising model -- A Novel Criterion to Obtain the Best Feature Subset from Filter Ranking Methods -- Class-specific Reducts vs. Classic Reducts in a Rule-based Classifier: A Case Study -- On the Construction of a Specific Algebra for Composing Tonal Counterpoint -- The Impact of Basic Matrix Dimension on the Performance of Algorithms for Computing Typical Testors -- Fast Convex Hull by a Geometric Approach -- An Experimental Study on Ant Colony Optimization Hyper-heuristics for Solving the Knapsack Problem -- A Linear Time Algorithm for Computing #2SAT for Outerplanar 2-CNF Formulas -- Improving the List of Clustered Permutation on Metric Spaces for Similarity Searching on Secondary Memory -- Modelling 3-Coloring of Polygonal Trees via Incremental Satisfiability -- Deep Learning, Neural Networks and Associative Memories -- Performance Analysis of Deep Neural Networks for Classification of Gene-Expression Microarrays -- Extreme Points of Convex Polytopes Derived from Lattice Autoassociative Memories -- A Comparison of Deep Neural Network Algorithms for Recognition of EEG Motor Imagery Signals -- Learning Word and Sentence Embeddings using a Generative Convolutional Network -- Dense Captioning of Natural Scenes in Spanish -- Automated Detection of Hummingbirds in Images: a Deep Learning Approach -- Data Mining -- Patterns in Poor Learning Engagement in Students While They are Solving Mathematics Exercises in an Affective Tutoring System Related to Frustration -- Pattern Discovery in Mixed Data Bases -- Image Clustering based on Frequent Approximate Subgraph Mining -- Validation of Semantic Relation of Synonymy in Domain Ontologies using Lexico-Syntactic Patterns and Acronyms -- Computer Vision -- Scene Text Segmentation Based on Local Image Phase Information and MSER Method -- A Lightweight Library for Augmented Reality Applications -- Point Set Matching with Order Type -- Including Foreground and Background Information in Maya Hieroglyph Representation -- A Fast Algorithm for Robot Localization using Multiple Sensing Units -- Improving Breast Mass Classification through Kernel Methods and the Fusion of Clinical Data and Image Descriptors -- An Improved Stroke Width Transform to Detect Race Bib Numbers -- Scaled CCR Histogram for Scale-invariant Texture Classification. |
Record Nr. | UNISA-996465810503316 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
|
Pattern Recognition : 10th Mexican Conference, MCPR 2018, Puebla, Mexico, June 27-30, 2018, Proceedings / / edited by José Francisco Martínez-Trinidad, Jesús Ariel Carrasco-Ochoa, José Arturo Olvera-López, Sudeep Sarkar |
Edizione | [1st ed. 2018.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
Descrizione fisica | 1 online resource (XI, 288 p. 113 illus.) |
Disciplina | 006.3 |
Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
Soggetto topico |
Pattern recognition
Artificial intelligence Optical data processing Pattern Recognition Artificial Intelligence Image Processing and Computer Vision |
ISBN | 3-319-92198-3 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Pattern Recognition Principles -- Patterns of Go gaming by Ising model -- A Novel Criterion to Obtain the Best Feature Subset from Filter Ranking Methods -- Class-specific Reducts vs. Classic Reducts in a Rule-based Classifier: A Case Study -- On the Construction of a Specific Algebra for Composing Tonal Counterpoint -- The Impact of Basic Matrix Dimension on the Performance of Algorithms for Computing Typical Testors -- Fast Convex Hull by a Geometric Approach -- An Experimental Study on Ant Colony Optimization Hyper-heuristics for Solving the Knapsack Problem -- A Linear Time Algorithm for Computing #2SAT for Outerplanar 2-CNF Formulas -- Improving the List of Clustered Permutation on Metric Spaces for Similarity Searching on Secondary Memory -- Modelling 3-Coloring of Polygonal Trees via Incremental Satisfiability -- Deep Learning, Neural Networks and Associative Memories -- Performance Analysis of Deep Neural Networks for Classification of Gene-Expression Microarrays -- Extreme Points of Convex Polytopes Derived from Lattice Autoassociative Memories -- A Comparison of Deep Neural Network Algorithms for Recognition of EEG Motor Imagery Signals -- Learning Word and Sentence Embeddings using a Generative Convolutional Network -- Dense Captioning of Natural Scenes in Spanish -- Automated Detection of Hummingbirds in Images: a Deep Learning Approach -- Data Mining -- Patterns in Poor Learning Engagement in Students While They are Solving Mathematics Exercises in an Affective Tutoring System Related to Frustration -- Pattern Discovery in Mixed Data Bases -- Image Clustering based on Frequent Approximate Subgraph Mining -- Validation of Semantic Relation of Synonymy in Domain Ontologies using Lexico-Syntactic Patterns and Acronyms -- Computer Vision -- Scene Text Segmentation Based on Local Image Phase Information and MSER Method -- A Lightweight Library for Augmented Reality Applications -- Point Set Matching with Order Type -- Including Foreground and Background Information in Maya Hieroglyph Representation -- A Fast Algorithm for Robot Localization using Multiple Sensing Units -- Improving Breast Mass Classification through Kernel Methods and the Fusion of Clinical Data and Image Descriptors -- An Improved Stroke Width Transform to Detect Race Bib Numbers -- Scaled CCR Histogram for Scale-invariant Texture Classification. |
Record Nr. | UNINA-9910349436503321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Pattern Recognition [[electronic resource] ] : 9th Mexican Conference, MCPR 2017, Huatulco, Mexico, June 21-24, 2017, Proceedings / / edited by Jesús Ariel Carrasco-Ochoa, José Francisco Martínez-Trinidad, José Arturo Olvera-López |
Edizione | [1st ed. 2017.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
Descrizione fisica | 1 online resource (XI, 310 p. 124 illus.) |
Disciplina | 006.37 |
Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
Soggetto topico |
Pattern recognition
Artificial intelligence Optical data processing Application software Data mining Pattern Recognition Artificial Intelligence Image Processing and Computer Vision Information Systems Applications (incl. Internet) Data Mining and Knowledge Discovery |
ISBN | 3-319-59226-2 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Pattern recognition and artificial intelligence techniques -- Image processing and analysis -- Robotics and remote sensing -- Natural language processing and recognition -- Applications of pattern recognition. |
Record Nr. | UNISA-996466177803316 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
|
Pattern Recognition : 9th Mexican Conference, MCPR 2017, Huatulco, Mexico, June 21-24, 2017, Proceedings / / edited by Jesús Ariel Carrasco-Ochoa, José Francisco Martínez-Trinidad, José Arturo Olvera-López |
Edizione | [1st ed. 2017.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
Descrizione fisica | 1 online resource (XI, 310 p. 124 illus.) |
Disciplina | 006.37 |
Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
Soggetto topico |
Pattern recognition
Artificial intelligence Optical data processing Application software Data mining Pattern Recognition Artificial Intelligence Image Processing and Computer Vision Information Systems Applications (incl. Internet) Data Mining and Knowledge Discovery |
ISBN | 3-319-59226-2 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Pattern recognition and artificial intelligence techniques -- Image processing and analysis -- Robotics and remote sensing -- Natural language processing and recognition -- Applications of pattern recognition. |
Record Nr. | UNINA-9910484642703321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Pattern Recognition [[electronic resource] ] : 8th Mexican Conference, MCPR 2016, Guanajuato, Mexico, June 22-25, 2016. Proceedings / / edited by José Francisco Martínez-Trinidad, Jesús Ariel Carrasco-Ochoa, Victor Ayala Ramírez, José Arturo Olvera-López, Xiaoyi Jiang |
Edizione | [1st ed. 2016.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 |
Descrizione fisica | 1 online resource (XIV, 358 p. 143 illus.) |
Disciplina | 006.4 |
Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
Soggetto topico |
Computer science
Pattern recognition Artificial intelligence Optical data processing Application software Data mining Computer Science, general Pattern Recognition Artificial Intelligence Image Processing and Computer Vision Information Systems Applications (incl. Internet) Data Mining and Knowledge Discovery |
ISBN | 3-319-39393-6 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Computer vision and image analysis -- Pattern recognition and artificial intelligent techniques -- Signal processing and analysis -- Applications of pattern recognition. |
Record Nr. | UNISA-996465720303316 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
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