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1. |
Record Nr. |
UNISOBSOBE00073528 |
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Autore |
Leopardi, Giacomo <1798-1837> |
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Titolo |
Crestomazia italiana, cioè scelta di luoghi insigni o per sentimento o per locuzione raccolti dagli scritti italiani di autori eccellenti di ogni secolo / per cura di Giacomo Leopardi |
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Pubbl/distr/stampa |
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Palermo, : Giuseppe Pedone Lauriel e Co., 1864-1865 |
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Titolo uniforme |
Crestomazia italiana |
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Descrizione fisica |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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2. |
Record Nr. |
UNISA996465377603316 |
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Titolo |
Pattern Recognition [[electronic resource] ] : Third Mexican Conference, MCPR 2011, Cancun, Mexico, June 29 - July 2, 2011. Proceedings / / edited by José Francisco Martínez-Trinidad, Jesús Ariel Carrasco-Ochoa, Cherif Ben-Youssef Brants, Edwin Robert Hancock |
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Pubbl/distr/stampa |
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Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2011 |
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ISBN |
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Edizione |
[1st ed. 2011.] |
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Descrizione fisica |
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1 online resource (XIV, 352 p. 131 illus., 47 illus. in color.) |
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Collana |
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Image Processing, Computer Vision, Pattern Recognition, and Graphics ; ; 6718 |
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Disciplina |
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Soggetti |
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Optical data processing |
Pattern recognition |
Artificial intelligence |
Information storage and retrieval |
Application software |
Image Processing and Computer Vision |
Pattern Recognition |
Artificial Intelligence |
Information Storage and Retrieval |
Information Systems Applications (incl. Internet) |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Bibliographic Level Mode of Issuance: Monograph |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Intro -- Title -- Preface -- Organization -- Table of Contents -- Kenote Addresses -- Resilient Subclass Discriminant Analysis with Application to Prelens Tear Film Interferometry -- Introduction -- Resilient Subclass Discriminant Analysis: Clustering -- RSDA Computational Procedure -- Computational Complexity -- Comparison with Other GMM Parameterization Models -- Segmentation of the PLTF from Narrowband Interferometry -- Final Comments -- References -- Context Sensitive Information: Model Validation by Information Theory -- Introduction -- Statistical Learning for Pattern Recognition -- Empirical Risk Approximation -- Generalization and the Two Instance Scenario -- Coding by Approximation -- Error Analysis of Approximation Set Coding -- Information Theoretical Model Selection -- Conclusion -- References -- Evolutionary Multi-Objective Optimization: Basic Concepts and Some Applications in Pattern Recognition -- Introduction -- Basic Concepts -- A Short Introduction to Evolutionary Algorithms -- Multi-Objective Evolutionary Algorithms -- Some Applications in Pattern Recognition -- Potential Areas for Further Research -- Conclusions -- References -- Pattern Recognition and Data Mining -- Comparative Diagnostic Accuracy of Linear and Nonlinear Feature Extraction Methods in a Neuro-oncology Problem -- Introduction -- Methods -- Optimizing the Computation of Geodesic Distances -- Dimensionality Reduction and Classification: ISOMAP and LDA -- Materials: SV-1H-MRS Brain Tumour Database -- Results and Discussion -- Conclusion -- References -- Efficient Group of Permutants for Proximity Searching -- Introduction -- Basic Concepts and Related Work -- Our Proposal -- Proximity to a Group -- Selecting Good Permutants per Group -- Experimental Section -- Synthetic Databases -- Real Databases -- Conclusions and Future Work -- References. |
Solving 3-Colouring via 2SAT -- Introduction -- Related Work -- Preliminaries -- A Heuristic for Building Proper 3-Colourings -- Example: Generalized Petersen Graphs -- Applying the Heuristic on the Petersen Graph -- Algorithm's Time-Complexity -- Conclusions -- References -- Classifier Selection by Clustering -- Introduction -- Related Work -- Proposed Framework -- Experimental Results -- Conclusion and Future Works -- References -- Ensemble of Classifiers Based on Hard Instances -- Introduction -- Ensemble of Classifiers Using a Meta-classifier by Clusters of Hard Instances -- Topology -- Combining Outputs -- Result and Discussion -- Conclusions -- References -- Scalable Pattern Search Analysis -- Introduction -- K Nearest References -- Describing Existing Proximity Indexes Using `3́9`42`"̇613A``45`47`"603AKNR -- Using the `3́9`42`"̇613A``45`47`"603AKNR Framework to Create Proximity Indexes -- Experimental Results -- Recall of the Indexes -- Increasing Recall Using Several `3́9`42`"̇613A``45`47`"603AKNR Indexes -- Improvements Using K and Variations -- Conclusions and Future Work -- References -- Application of Pattern Recognition Techniques to Hydrogeological Modeling of Mature Oilfields -- Introduction -- Multivariate Statistical and Pattern Recognition Techniques for Hydrogeological Modeling -- Application of Pattern Recognition Techniques to the Oilfield Data -- Cluster Analysis of Physic-chemical |
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Water Properties for Aquifer Identification -- Pattern Recognition of Basic WOR Signatures for Water Breakthrough Mechanism Identification -- Conclusions -- References -- On Trend Association Analysis of Time Series of Atmospheric Pollutants and Meteorological Variables in Mexico City Metropolitan Area -- Introduction -- Data Used for Analysis -- Basic Notions of MAP Transform and Trend Associations -- Results and Discussion -- Conclusions. |
References -- Associative Memory Approach for the Diagnosis of Parkinson's Disease -- Introduction -- Alpha-Beta Associative Memories -- Alpha-Beta Associative Memories -- Johnson-Möbius Modified Code -- Alpha-Beta Bidirectional Associative Memories -- Experiments and Results -- Conclusions -- References -- Computer Vision and Robotics -- Thermal Video Analysis for Fire Detection Using Shape Regularity and Intensity Saturation Features -- Introduction -- Fire Detection Method -- Image Preprocessing -- Prospective Fire Blobs Location -- Feature Extraction -- Classification Scheme -- Results and Conclusions -- Experimental Results -- Performance Metrics -- References -- People Detection Using Color and Depth Images -- Introduction -- Previous Work -- Detection of Foreground Objects -- Planar Background Elimination -- Background Model -- Foreground Objects -- Combining Detections -- Experimental Results -- Conclusion -- References -- Measuring Rectangularity Using GR-Signature -- Introduction -- Radon Transform -- Gradient -- GR-Signature -- Rectangularity Measure (RGR) -- Evaluation -- Conclusions -- References -- Multi-modal 3D Image Registration Based on Estimation of Non-rigid Deformation -- Introduction -- 3D Object Surface Extraction Based on Active Contour Models -- Extraction of 3D Object Feature Points from Sets of Images -- Estimation of Non-rigid Deformation -- Experiments and Results -- Conclusions -- References -- Performance of Correlation Filters in Facial Recognition -- Introduction -- Correlation Filters -- K-Law Nonlinear Composite Filter -- Minimum Average Correlation Energy -- Average of Synthetic Exact Filters -- Performances of the Correlation Filters in Face Recognition -- Conclusions -- References -- Evaluation of Binarization Algorithms for Camera-Based Devices -- Introduction -- Materials and Methods -- Binarization Methods. |
Image Acquisition -- Image Binarization -- Feature Extraction -- Feature Selection -- Digit Recognition -- Results -- Conclusion -- References -- A Hybrid Approach for Pap-Smear Cell Nucleus Extraction -- Introduction -- Hierarchy of Partitions of Pap-Smear Cell Images -- Pap-Smear Cell Images Segmentation and Classification -- Segmentation Level Selection -- SVM Region Classification and Merging -- Results and Discussion -- Conclusions -- References -- Image Processing -- Segmentation of Noisy Images Using the Rank M-Type L-Filter and the Fuzzy C-Means Clustering Algorithm -- Introduction -- Proposed Method -- RM-Estimator -- RML- Estimator -- Classic Fuzzy C-Means Clustering -- Experimental Results -- Results on a Synthetic Image -- Results on a Real Image -- Discussion of Results -- Conclusions -- References -- Design of Correlation Filters for Pattern Recognition Using a Noisy Training Image -- Introduction -- Design of Filters -- Computer Simulations -- Conclusions -- References -- Image Fusion Algorithm Using the Multiresolution Directional-Oriented Hermite Transform -- Introduction -- The Hermite Transform (HT) -- The Steered HT -- The Multiresolution Directional-Oriented HT -- Proposed Image Fusion Algorithm -- The Fusion Rule -- Experiments and Results -- Conclusions -- References -- Normalized Cut Based Edge Detection -- Normalized Cut -- Calculating the Optimal Partition -- Power Method -- Weight Function and Segmentation -- Edge |
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Detection -- Simplifying the Method -- Conclusions -- References -- Homogeneity Cues for Texel Size Estimation of Periodic and Near-Periodic Textures -- Introduction -- Texel Size Estimation Using Homogeneity Cues -- Experiments and Results -- Texel Size Estimation of a Corrupted Regular Pattern -- Texel Size Estimation of Natural Images -- Computation Time Evaluation -- Summary and Conclusions -- References. |
Adaptive Thresholding Methods for Documents Image Binarization -- Introduction -- The State of Art -- Niblack's Method -- Sauvola's Method -- Nick Method -- The Proposed Method -- The Experiments and Results -- Conclusion -- References -- Foveated ROI Compression with Hierarchical Trees for Real-Time Video Transmission -- Introduction -- Previous Works -- Video Compression -- Foveated Compression -- SPIHT -- Proposed Approach -- Fovea Hierarchical Trees -- Results -- Conclusions and Future Work -- References -- Neural Networks and Signal Processing -- Neural Networks to Guide the Selection of Heuristics within Constraint Satisfaction Problems -- Introduction -- Background and Related Work -- Solution Model -- Problem State Representation -- Variable Ordering Heuristics -- The Training Set -- Neural Networks to Represent Hyper-heuristics -- Experiments and Results -- Conclusions and Future Work -- References -- Microcalcifications Detection Using PFCM and ANN -- Introduction -- ROI Selection -- Detection of Microcalcifications -- Enhancement of Microcalcifications -- Segmentation of Microcalcifications by PFCM -- Classification of Microcalcifications -- Feature Extraction -- Classification of Microcalcifications by ANN -- Methodology and Results -- Conclusions -- References -- Software Development Effort Estimation in Academic Environments Applying a General Regression Neural Network Involving Size and People Factors -- Introduction -- Description of Dependent and Independent Variables -- Criterion for Accuracy Evaluation -- Related Work -- Experimental Design -- Description of Estimation Models -- Statistical Regression Model -- General Regression Neural Network -- Analysis -- Verification of Models -- Validation of Models -- Conclusions and Future Research -- References -- An Ensemble of Degraded Neural Networks -- Introduction -- The Strategy. |
An Example. |
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Sommario/riassunto |
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This book constitutes the refereed proceedings of the Third Mexican Conference on Pattern Recognition, MCPR 2011, held in Cancun, Mexico, in June/July 2011. The 37 revised full papers were carefully reviewed and selected from 69 submissions and are organized in topical sections on pattern recognition and data mining; computer vision and robotics; image processing; neural networks and signal processing; and natural language and document processing. |
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