Pattern recognition : 10th Mexican Conference, MCPR 2018, Puebla, Mexico, June 27-30, 2018, Proceedings /: 10th Mexican Conference, MCPR 2018, Puebla, Mexico, June 27-30, 2018, Proceedings. (2018)

• Record Type: Book
• Other Titles: MCPR 2018
• Further Information: Note: José Francisco Martínez-Trinidad, Jesús Ariel Carrasco-Ochoa, José Arturo Olvera-López, Sudeep Sarkar (eds.).
• Editors: Martínez Trinidad, José Francisco; Carrasco Ochoa, Jesús Ariel; Olvera-López, José Arturo; Sarkar, Sudeep
• Other Names: Mexican Conference on Pattern Recognition, 10th
• Contents: 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.
• Publisher Details: Cham, Switzerland : Springer
• Publication Date: 2018
• Extent: 1 online resource (xi, 288 pages), illustrations
• Subjects: 006.3; Computer science; Pattern recognition systems -- Congresses; Computer vision -- Congresses; Computer vision; Pattern recognition systems; Computers -- Intelligence (AI) & Semantics; Computers -- Computer Graphics; Artificial intelligence; Image processing; Optical pattern recognition; Artificial intelligence; Computer vision; Computers -- Computer Vision & Pattern Recognition; Pattern recognition; Electronic books; Conference papers and proceedings
• Languages: English
• ISBNs: 9783319921983; 3319921983; 3319921975; 9783319921976
• Related ISBNs: 9783319921976
• Notes: Note: Online resource; title from PDF title page (SpringerLink, viewed June 27, 2018).
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.