Pattern Recognition Applications and Methods [[electronic resource] ] : Third International Conference, ICPRAM 2014, Angers, France, March 6-8, 2014, Revised Selected Papers / / edited by Ana Fred, Maria De Marsico, Antoine Tabbone |
Edizione | [1st ed. 2015.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 |
Descrizione fisica | 1 online resource (XVI, 279 p. 136 illus. in color.) |
Disciplina | 006.4 |
Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
Soggetto topico |
Pattern recognition
Optical data processing Artificial intelligence Computer graphics Computer simulation Computational intelligence Pattern Recognition Image Processing and Computer Vision Artificial Intelligence Computer Graphics Simulation and Modeling Computational Intelligence |
ISBN | 3-319-25530-4 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Multiple Image Segmentation -- Aggregation of Biclustering Solutions for Ensemble Approach -- Fuzzy C-Means Stereo Segmentation -- SCHOG Feature for Pedestrian Detection -- Learning Prior Bias in Classifier -- Intra-class Variance among Multiple Samples of the Same Person’s Fingerprint in a Cooperative User Scenario -- Kernel Matrix Completion for Learning Nearly Consensus Support Vector Machines -- An Empirical Comparison of Support Vector Machines versus Nearest Neighbour Methods for Machine Learning Applications -- Improving the Detection of Relations between Objects in an Image using Textual Semantics -- A ToF-based Approach to 3D Reconstruction of Isometric Surfaces -- Segmentation of Tomatoes in Open Field Images with Shape and Temporal Constraints -- Fast and Accurate Pedestrian Detection in a Truck’s Blind Spot Camera -- Comparing Different Labeling Strategies in Anomalous Power Consumptions Detection -- An Efficient Shape Feature Extraction, Description and Matching Method using GPU -- Utilization of Multiple Sequence Analyzers for Bibliographic Information Extraction. |
Record Nr. | UNISA-996466278103316 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 | ||
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Lo trovi qui: Univ. di Salerno | ||
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Pattern Recognition Applications and Methods : Third International Conference, ICPRAM 2014, Angers, France, March 6-8, 2014, Revised Selected Papers / / edited by Ana Fred, Maria De Marsico, Antoine Tabbone |
Edizione | [1st ed. 2015.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 |
Descrizione fisica | 1 online resource (XVI, 279 p. 136 illus. in color.) |
Disciplina | 006.4 |
Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
Soggetto topico |
Pattern recognition
Optical data processing Artificial intelligence Computer graphics Computer simulation Computational intelligence Pattern Recognition Image Processing and Computer Vision Artificial Intelligence Computer Graphics Simulation and Modeling Computational Intelligence |
ISBN | 3-319-25530-4 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Multiple Image Segmentation -- Aggregation of Biclustering Solutions for Ensemble Approach -- Fuzzy C-Means Stereo Segmentation -- SCHOG Feature for Pedestrian Detection -- Learning Prior Bias in Classifier -- Intra-class Variance among Multiple Samples of the Same Person’s Fingerprint in a Cooperative User Scenario -- Kernel Matrix Completion for Learning Nearly Consensus Support Vector Machines -- An Empirical Comparison of Support Vector Machines versus Nearest Neighbour Methods for Machine Learning Applications -- Improving the Detection of Relations between Objects in an Image using Textual Semantics -- A ToF-based Approach to 3D Reconstruction of Isometric Surfaces -- Segmentation of Tomatoes in Open Field Images with Shape and Temporal Constraints -- Fast and Accurate Pedestrian Detection in a Truck’s Blind Spot Camera -- Comparing Different Labeling Strategies in Anomalous Power Consumptions Detection -- An Efficient Shape Feature Extraction, Description and Matching Method using GPU -- Utilization of Multiple Sequence Analyzers for Bibliographic Information Extraction. |
Record Nr. | UNINA-9910484751303321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 | ||
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Lo trovi qui: Univ. Federico II | ||
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