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[null,"1.","Record Nr.",null,"UNINA9910483606903321"]
[null,null,"Titolo",null,"Advanced Concepts for Intelligent Vision Systems : 12th International Conference, ACIVS 2010, Sydney, Australia, December 13-16, 2010, Proceedings, Part II / / edited by Jacques Blanc-Talon, Don Bone, Wilfried Philips, Dan Popescu, Paul Scheunders"]
[null,null,"Pubbl/distr/stampa",null,"Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2010"]
[null,null,"ISBN",null,"1-280-39079-4"]
[{"$nulls":4},"9786613568717"]
[{"$nulls":4},"3-642-17691-7"]
[null,null,"Edizione",null,"[1st ed. 2010.]"]
[null,null,"Descrizione fisica",null,"1 online resource (XX, 379 p. 178 illus.)"]
[null,null,"Collana",null,"Image Processing, Computer Vision, Pattern Recognition, and Graphics, , 3004-9954 ; ; 6475"]
[null,null,"Disciplina",null,"006.6"]
[{"$nulls":4},"006.37"]
[null,null,"Soggetti",null,"Computer vision"]
[{"$nulls":4},"Artificial intelligence"]
[{"$nulls":4},"Pattern recognition systems"]
[{"$nulls":4},"Computer graphics"]
[{"$nulls":4},"Computer networks"]
[{"$nulls":4},"Algorithms"]
[{"$nulls":4},"Computer Vision"]
[{"$nulls":4},"Artificial Intelligence"]
[{"$nulls":4},"Automated Pattern Recognition"]
[{"$nulls":4},"Computer Graphics"]
[{"$nulls":4},"Computer Communication Networks"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Bibliographic Level Mode of Issuance: Monograph"]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"Video Processing -- Video Quality Analysis for Concert Video Mashup Generation -- Speeding Up Structure from Motion on Large Scenes Using Parallelizable Partitions -- Mapping GOPS in an Improved DVC to H.264 Video Transcoder -- Scalable H.264 Wireless Video Transmission over MIMO-OFDM Channels -- A GPU-Accelerated Real-Time NLMeans Algorithm for Denoising Color Video Sequences -- An Efficient Mode Decision Algorithm for Combined Scalable Video Coding -- A Novel Rate Control Method for H.264/AVC Based on Frame Complexity and "]
[{"$nulls":4},"Importance -- Digital Image Tamper Detection Based on Multimodal Fusion of Residue Features -- Surveillance and Camera Networks -- Fire Detection in Color Images Using Markov Random Fields -- A Virtual Curtain for the Detection of Humans and Access Control -- A New System for Event Detection from Video Surveillance Sequences -- Evaluation of Human Detection Algorithms in Image Sequences -- Recognizing Objects in Smart Homes Based on Human Interaction -- Football Players Classification in a Multi-camera Environment -- SUNAR Surveillance Network Augmented by Retrieval -- Object Tracking over Multiple Uncalibrated Cameras Using Visual, Spatial and Temporal Similarities -- Machine Vision -- A Template Matching and Ellipse Modeling Approach to Detecting Lane Markers -- An Analysis of the Road Signs Classification Based on the Higher-Order Singular Value Decomposition of the Deformable Pattern Tensors -- An Effective Rigidity Constraint for Improving RANSAC in Homography Estimation -- Exploiting Neighbors for Faster Scanning Window Detection in Images -- Remote Sensing -- Optimisation-Based Image Grid Smoothing for SST Images -- Estimating 3D Polyhedral Building Models by Registering Aerial Images -- Content-Based Retrieval of Aurora Images Based on the Hierarchical Representation -- Improved Grouping and Noise Cancellation for Automatic Lossy Compression of AVIRIS Images -- New Saliency Point Detection and Evaluation Methods for Finding Structural Differences in Remote Sensing Images of Long Time-Span Samples -- Recognition, Classification and Tracking -- Regularized Kernel Locality Preserving Discriminant Analysis for Face Recognition -- An Appearance-Based Prior for Hand Tracking -- Image Recognition through Incremental Discriminative Common Vectors -- Dynamic Facial Expression Recognition Using Boosted Component-Based Spatiotemporal Features and Multi-classifier Fusion -- Gender Classification on Real-Life Faces -- Face Recognition Using Contourlet Transform and Multidirectional Illumination from a Computer Screen -- Shape and Texture Based Plant Leaf Classification -- A New Approach of GPU Accelerated Visual Tracking -- Recognizing Human Actions by Using Spatio-temporal Motion Descriptors."]
[null,null,null,"Sommario/riassunto","The LNCS series reports state-of-the-art results in computer science research, development, and education, at a high level and in both printed and electronic form. Enjoying tight cooperation with the R & D community, with numerous individuals, as well as with prestigious organizations and societies, LNCS has grown into the most comprehensive computer science research forum available. The scope of LNCS, including its subseries LNAI and LNBI, spans the whole range of computer science and information technology including interdisciplinary topics in a variety of application fields. The type of material published traditionally includes proceedings (published in time for the respective conference) post-proceedings (consisting of thoroughly revised final full papers) research monographs (which may be based on outstanding PhD work, research project, technical reports, etc.) More recently, several color-cover sublines have been added featuring, beyond a collection of papers, various added-value components; these sublines include tutorials (textbook-like monographs or collections of lectures given at advanced courses) state-of-the-art surveys (offering complete and mediated coverage of a topic) hot topics (introducing emergent topics to the broader community) Book jacket."]
[null,"2.","Record Nr.",null,"UNINA9910438143603321"]
[null,null,"Titolo",null,"mODa 10 – Advances in Model-Oriented Design and Analysis : Proceedings of the 10th International Workshop in Model-Oriented Design and Analysis Held in Łagów Lubuski, Poland, June 10–14, 2013 / / edited by Dariusz Ucinski, Anthony C. Atkinson, Maciej Patan"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer International Publishing : , : Imprint : Springer, , 2013"]
[null,null,"ISBN",null,"3-319-00218-X"]
[null,null,"Edizione",null,"[1st ed. 2013.]"]
[null,null,"Descrizione fisica",null,"1 online resource (249 p.)"]
[null,null,"Collana",null,"Contributions to Statistics, , 2628-8966"]
[null,null,"Disciplina",null,"566"]
[null,null,"Soggetti",null,"Statistics"]
[{"$nulls":4},"Biometry"]
[{"$nulls":4},"Mathematical statistics - Data processing"]
[{"$nulls":4},"Statistical Theory and Methods"]
[{"$nulls":4},"Biostatistics"]
[{"$nulls":4},"Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences"]
[{"$nulls":4},"Statistics and Computing"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Description based upon print version of record."]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"A Convergent Algorithm for Finding KL-Optimum Designs and Related Properties -- Robust Experimental Design for Choosing Between Models of Enzyme Inhibition -- Checking Linear Regression Models Taking Time into Account -- Optimal Sample Proportion for a Two-Treatment Clinical Trial in the Presence of Surrogate Endpoints -- Estimating and Quantifying Uncertainties on Level Sets Using the Vorobev Expectation and Deviation with Gaussian Process Models -- Optimal Designs for Multiple-Mixture by Process Variable Experiments -- Optimal Design of Experiments for Delayed Responses in Clinical Trials -- Construction of Minimax Designs for the Trinomial Spike Model in Contingent Valuation Experiments -- Maximum Entropy Design in High Dimensions by Composite Likelihood Modelling -- Randomization Based Inference for the Drop-The-Loser Rule -- Adaptive Bayesian Design with Penalty Based on Toxicity-Efficacy Response -- Randomly Reinforced Urn Designs Whose Allocation Proportions Converge to Arbitrary Prespecified Values -- Kernels and "]
[{"$nulls":4},"Designs for Modelling Invariant Functions: From Group Invariance to Additivity -- Optimal Design for Count Data with Binary Predictors in Item Response Theory -- Differences between Analytic and Algorithmic Choice Designs for Pairs of Partial Profiles -- Approximate Bayesian Computation Design (ABCD), An Introduction -- Approximation of the Fisher Information Matrix for Nonlinear Mixed Effects Models in Population Pk/Pd Studies -- c-Optimal Designs for the Bivariate Emax Model -- On the Functional Approach to Locally D-Optimum Design for Multiresponse Models -- Sample Size Calculation for Diagnostic Tests in Generalized Linear Mixed Models -- D-Optimal Designs for Lifetime Experiments with Exponential Distribution and Censoring -- Convergence of An Algorithm for Constructing Minimax Designs -- Extended Optimality Criteria for Optimum Design in Nonlinear Regression -- Optimal Design for Multivariate Models with Correlated Observations -- Optimal Designs for the Prediction of Individual Effects in Random Coefficient Regression -- D-Optimum Input Signals for Systems with Spatio-Temporal Dynamics -- Random Projections in Model Selection and Related Experimental Design Problems -- Optimal Design for the Bounded Log-Linear Regression Model."]
[null,null,null,"Sommario/riassunto","This book collects the proceedings of the 10th Workshop on Model-Oriented Design and Analysis (mODa). A model-oriented view on the design of experiments, which is the unifying theme of all mODa meetings, assumes some knowledge of the form of the data-generating process and naturally leads to the so-called optimum experimental design. Its theory and practice have since become important in many scientific and technological fields, ranging from optimal designs for dynamic models in pharmacological research, to designs for industrial experimentation, to designs for simulation experiments in environmental risk management, to name but a few. The methodology has become even more important in recent years because of the increased speed of scientific developments, the complexity of the systems currently under investigation and the mounting pressure on businesses, industries and scientific researchers to reduce product and process development times. This increased competition requires ever increasing efficiency in experimentation, thus necessitating new statistical designs. This book presents a rich collection of carefully selected contributions ranging from statistical methodology to emerging applications. It primarily aims to provide an overview of recent advances and challenges in the field, especially in the context of new formulations, methods and state-of-the-art algorithms. The topics included in this volume will be of interest to all scientists and engineers and statisticians who conduct experiments."]