05349nam 22007935 450 99646594400331620200629202931.03-642-00582-910.1007/978-3-642-00582-4(CKB)1000000000714650(SSID)ssj0000316386(PQKBManifestationID)11225815(PQKBTitleCode)TC0000316386(PQKBWorkID)10263682(PQKB)10449063(DE-He213)978-3-642-00582-4(MiAaPQ)EBC3063975(PPN)132875004(EXLCZ)99100000000071465020100301d2009 u| 0engurnn|008mamaatxtccrAttention in Cognitive Systems[electronic resource] International Workshop on Attention in Cognitive Systems, WAPCV 2008 Fira, Santorini, Greece, May 12, 2008, Revised Selected Papers /edited by Lucas Paletta, John K. Tsotsos1st ed. 2009.Berlin, Heidelberg :Springer Berlin Heidelberg :Imprint: Springer,2009.1 online resource (X, 273 p.) Lecture Notes in Artificial Intelligence ;5395Bibliographic Level Mode of Issuance: Monograph3-642-00581-0 Includes bibliographical references and index.Attention in Scene Exploration -- On the Optimality of Spatial Attention for Object Detection -- Decoding What People See from Where They Look: Predicting Visual Stimuli from Scanpaths -- A Novel Hierarchical Framework for Object-Based Visual Attention -- Where Do We Grasp Objects? – An Experimental Verification of the Selective Attention for Action Model (SAAM) -- Contextual Cueing and Saliency -- Integrating Visual Context and Object Detection within a Probabilistic Framework -- The Time Course of Attentional Guidance in Contextual Cueing -- Conspicuity and Congruity in Change Detection -- Spatiotemporal Saliency -- Spatiotemporal Saliency: Towards a Hierarchical Representation of Visual Saliency -- Motion Saliency Maps from Spatiotemporal Filtering -- Attentional Networks -- Model Based Analysis of fMRI-Data: Applying the sSoTS Framework to the Neural Basic of Preview Search -- Modelling the Efficiencies and Interactions of Attentional Networks -- The JAMF Attention Modelling Framework -- Attentional Modeling -- Modeling Attention and Perceptual Grouping to Salient Objects -- Attention Mechanisms in the CHREST Cognitive Architecture -- Modeling the Interactions of Bottom-Up and Top-Down Guidance in Visual Attention -- Relative Influence of Bottom-Up and Top-Down Attention -- Towards Standardization of Evaluation Metrics and Methods for Visual Attention Models -- Comparing Learning Attention Control in Perceptual and Decision Space -- Automated Visual Attention Manipulation.This volume constitutes the thoroughly refereed post-workshop proceedings of the 5th International Workshop on Attention in Cognitive Systems, WAPCV 2008, held in Fira, Santorini, Greece in May 2008 as an associated event of the 6th International Conference on Computer Vision Systems (ICVS 2008). The 13 revised full papers presented together with with 9 posters, have been carefully selected from 34 submissions. The papers are organized in topical sections on attention in scene exploration, contextueal cueing and saliency, spatiotemporal saliency, attentional networks as well as attentional modelling.Lecture Notes in Artificial Intelligence ;5395NeurosciencesComputer graphicsPattern recognitionArtificial intelligenceOptical data processingNeuroscienceshttps://scigraph.springernature.com/ontologies/product-market-codes/B18006Computer Graphicshttps://scigraph.springernature.com/ontologies/product-market-codes/I22013Pattern Recognitionhttps://scigraph.springernature.com/ontologies/product-market-codes/I2203XArtificial Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/I21000Image Processing and Computer Visionhttps://scigraph.springernature.com/ontologies/product-market-codes/I22021Computer Imaging, Vision, Pattern Recognition and Graphicshttps://scigraph.springernature.com/ontologies/product-market-codes/I22005Neurosciences.Computer graphics.Pattern recognition.Artificial intelligence.Optical data processing.Neurosciences.Computer Graphics.Pattern Recognition.Artificial Intelligence.Image Processing and Computer Vision.Computer Imaging, Vision, Pattern Recognition and Graphics.006.3/7DAT 760fstubPHY 826fstubPSY 205fstubSS 4800rvkPaletta Lucasedthttp://id.loc.gov/vocabulary/relators/edtTsotsos John Kedthttp://id.loc.gov/vocabulary/relators/edtBOOK996465944003316Attention in Cognitive Systems774134UNISA05021nam 22008055 450 991048429980332120200630144146.03-540-85289-110.1007/978-3-540-85289-6(CKB)1000000000490391(SSID)ssj0000446343(PQKBManifestationID)11325931(PQKBTitleCode)TC0000446343(PQKBWorkID)10496061(PQKB)10808483(DE-He213)978-3-540-85289-6(MiAaPQ)EBC3063091(MiAaPQ)EBC6311402(PPN)128126086(EXLCZ)99100000000049039120100301d2008 u| 0engurnn|008mamaatxtccrThe Common Component Modeling Example Comparing Software Component Models /edited by Andreas Rausch, Ralf H. Reussner, Raffaela Mirandola, Frantisek Plasil1st ed. 2008.Berlin, Heidelberg :Springer Berlin Heidelberg :Imprint: Springer,2008.1 online resource (VIII, 460 p.) Programming and Software Engineering ;5153Based on a seminar held at Schloss Dagstuhl, Germany, Aug. 1-3, 2007, and sponsored by the German Computer Science Society.3-540-85288-3 Includes bibliographical references and author index.CoCoTA – Common Component Task -- CoCoME - The Common Component Modeling Example -- Modeling Components and Component-Based Systems in KobrA -- A Rich Services Approach to CoCoME -- Modelling with Relational Calculus of Object and Component Systems - rCOS -- Component-Interaction Automata Approach (CoIn) -- Service-Oriented Modeling of CoCoME with Focus and AutoFocus -- Modelling the CoCoME with the Java/A Component Model -- Linking Programs to Architectures: An Object-Oriented Hierarchical Software Model Based on Boxes -- Modelling the CoCoME with DisCComp -- Palladio – Prediction of Performance Properties -- KLAPER: An Intermediate Language for Model-Driven Predictive Analysis of Performance and Reliability -- CoCoME in Fractal -- CoCoME in SOFA -- A Specification Language for Distributed Components Implemented in GCM/ProActive -- CoCoME Jury Evaluation and Conclusion.This volume defines a common example for modelling approaches of component based systems. It is based on the Dagstuhl research seminar CoCoME (Common Component Modelling Example), which was held from August 1-3, 2007, at Schloss Dagstuhl, Germany. The Common Component Modelling Example makes it possible to compare different approaches and to validate existing models. It serves as a platform for the classification of existing models and approaches and the interchange of research ideas, enabling researchers to focus and to tackle aspects less frequently dealt with. The CoCoME project is an ongoing venture, one of the aims of which is the adoption of the Common Component Modelling Example by the entire component community as a means of comparing and validating their approaches.Programming and Software Engineering ;5153Software engineeringComputersComputer programmingComputer simulationSoftware Engineeringhttps://scigraph.springernature.com/ontologies/product-market-codes/I14029Software Engineering/Programming and Operating Systemshttps://scigraph.springernature.com/ontologies/product-market-codes/I14002Theory of Computationhttps://scigraph.springernature.com/ontologies/product-market-codes/I16005Models and Principleshttps://scigraph.springernature.com/ontologies/product-market-codes/I18016Programming Techniqueshttps://scigraph.springernature.com/ontologies/product-market-codes/I14010Simulation and Modelinghttps://scigraph.springernature.com/ontologies/product-market-codes/I19000Software engineering.Computers.Computer programming.Computer simulation.Software Engineering.Software Engineering/Programming and Operating Systems.Theory of Computation.Models and Principles.Programming Techniques.Simulation and Modeling.520.9Rausch Andreasedthttp://id.loc.gov/vocabulary/relators/edtReussner Ralf Hedthttp://id.loc.gov/vocabulary/relators/edtMirandola Raffaelaedthttp://id.loc.gov/vocabulary/relators/edtPlasil Frantisekedthttp://id.loc.gov/vocabulary/relators/edtGesellschaft für Informatik.MiAaPQMiAaPQMiAaPQBOOK9910484299803321The Common Component Modeling Example2830781UNINA