Search results for " Vision"

showing 10 items of 2709 documents

The on-line curvilinear component analysis (onCCA) for real-time data reduction

2015

Real time pattern recognition applications often deal with high dimensional data, which require a data reduction step which is only performed offline. However, this loses the possibility of adaption to a changing environment. This is also true for other applications different from pattern recognition, like data visualization for input inspection. Only linear projections, like the principal component analysis, can work in real time by using iterative algorithms while all known nonlinear techniques cannot be implemented in such a way and actually always work on the whole database at each epoch. Among these nonlinear tools, the Curvilinear Component Analysis (CCA), which is a non-convex techni…

Clustering high-dimensional dataBregman divergenceComputer scienceneural networkprojectionBregman divergenceNovelty detectionSynthetic dataData visualizationArtificial Intelligencebranch and boundComputer visionunfoldingcurvilinear component analysisCurvilinear coordinatesArtificial neural networkbusiness.industryVector quantizationPattern recognitiononline algorithmbearing faultvector quantizationPattern recognition (psychology)Principal component analysisbearing fault; branch and bound; Bregman divergence; curvilinear component analysis; data reduction; neural network; novelty detection; online algorithm; projection; unfolding; vector quantization; Software; Artificial Intelligencedata reductionArtificial intelligencebusinessnovelty detectionSoftware
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A cognitive architecture for artificial vision

1997

Abstract A new cognitive architecture for artificial vision is proposed. The architecture, aimed at an autonomous intelligent system, is cognitive in the sense that several cognitive hypotheses have been postulated as guidelines for its design. The first one is the existence of a conceptual representation level between the subsymbolic level, that processes sensory data, and the linguistic level, that describes scenes by means of a high level language. The conceptual level plays the role of the interpretation domain for the symbols at the linguistic levels. A second cognitive hypothesis concerns the active role of a focus of attention mechanism in the link between the conceptual and the ling…

Cognitive modelActive visionLinguistics and LanguageRepresentation levelComputer sciencemedia_common.quotation_subjectGeometric reasoningRepresentation levelsLanguage and LinguisticsArtificial IntelligencePerceptionConceptual spacesLIDAArchitectureActive visionLanguage and Linguisticmedia_commonConceptual spaceSettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniCognitive scienceHybrid processingbusiness.industryCognitionSpatial intelligenceCognitive architectureRoboticsRoboticPerceptionArtificial intelligencebusinessSpatial reasoningArtificial Intelligence
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Modeling visual sampling on in-car displays: The challenge of predicting safety-critical lapses of control

2015

In this article, we study how drivers interact with in-car interfaces, particularly by focusing on understanding driver in-car glance behavior when multitasking while driving. The work focuses on using an in-car touch screen to find a target item from a large number of unordered visual items spread across multiple screens. We first describe a cognitive model that aims to represent a driver?s visual sampling strategy when interacting with an in-car display. The proposed strategy assumes that drivers are aware of the passage of time during the search task; they try to adjust their glances at the display to a time limit, after which they switch back to the driving task; and they adjust their t…

Cognitive modelComputer scienceHuman Factors and ErgonomicsEducationTask (project management)Cognitive modelingInhibition of returnHuman–computer interactionDistractionHuman multitaskingComputer visionVisual searchCommunication designta113business.industryVisual searchGeneral EngineeringDriving simulatorDistractionGazeIn-car displaysHuman-Computer InteractionHardware and ArchitectureEye trackingArtificial intelligenceInterleaving strategybusinessSoftwareDriving
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Panel Summary: Knowledge Model Representations

1997

Following the usual classifications of cognitive psychologists, we can say that the problem of representation spans three domains: the environment, the brain, and cognitive processes, which are usually studied by different scientists: the physicists, the neurobiologists and the psychologists. With the development of computer science and artificial intelligence new approaches have been introduced, which make possible simulation and implementation of cognitive processes through neural networks and symbolic systems. But the contribution of new methods is not limited to simulation, because they try to provide new models which consider cognitive process as information processing, not as reaction…

Cognitive scienceArtificial neural networkArtificial visionComputer scienceInformation processingRepresentation (systemics)Conceptual spaceCognitionData miningcomputer.software_genrecomputerSymbolic Systems
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Understanding color vision, with comments on mind and matter

2012

Much is known about the mental and physical aspects of color vision. Color vision, therefore, is a paradigm well suited for the discussion of the relationship between mind and matter. The aim of the present chapter is to support the proposition that mental affairs cannot be adequately understood if their neurobiological aspects are neglected. Although it is possible to focus on fundamental problems of general relevance when discussing mind and matter, this chapter will deal with specific observations rather than general issues. The possibility of generalizations derived from empirical results is always limited. Provided the conditions under which these observations were made can be confirme…

Cognitive scienceColor visionPerceptionmedia_common.quotation_subjectTransition (fiction)Relevance (law)PropositionHeadlineTransduction (psychology)Psychologymedia_commonFocus (linguistics)
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A Formalism Supplementing Cognitive Semantics Based on Mereology

2007

ABSTRACT This paper is motivated by and aims to supplement Cognitive Semantics. Details of this latter prominent approach within contemporary linguistic research will not be discussed here. Rather, we focus on a formalization of the concept of Gestalt and provide a formal semantics that can be used to interpret a certain formal language (LM 0) with respect to a universe of structured wholes (Gestalts). Since a great deal of the analyses of linguistic organization that has been provided by Cognitive Semantics since the mid-1970s is based on the concept of Gestalt, the semantics unfolded in the following may be viewed as an attempt to provide a starting point for supplementing the yet informa…

Cognitive scienceComputer scienceFormal semantics (linguistics)Cognitive semanticsExperimental and Cognitive PsychologyComputer Graphics and Computer-Aided DesignOperational semanticsLinguisticsAction semanticsDenotational semanticsWell-founded semanticsModeling and SimulationComputational semanticsFormal languageComputer Vision and Pattern RecognitionEarth-Surface ProcessesSpatial Cognition & Computation
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The Family-Resemblances Framework for Mind-Wandering Remains Well Clad

2018

Christoff et al. [1] reject our family-resemblances framework for mind-wandering research [2] and instead seek to characterize mind-wandering with a necessary defining feature. As an example, they point to their ‘dynamic framework’ [3] that defines mind-wandering as thoughts that ‘proceed in a relatively free, unconstrained fashion.’ We outline three primary points of disagreement with their commentary and two points of clarification on the family-resemblances framework.

Cognitive sciencePoint (typography)Cognitive Neuroscience05 social sciencesExperimental and Cognitive Psychology050105 experimental psychology03 medical and health sciences0302 clinical medicineNeuropsychology and Physiological PsychologyFeature (computer vision)Mind-wandering0501 psychology and cognitive sciencesPsychology030217 neurology & neurosurgeryTrends in Cognitive Sciences
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Knowledge representation for robotic vision based on conceptual spaces and attentive mechanisms

1995

A new cognitive architecture for artificial vision is proposed. The architecture is aimed for an autonomous intelligent system, as several cognitive hypotheses have been postulated as guidelines for its design. The design is based on a conceptual representation level between the subsymbolic level processing the sensory data, and the linguistic level describing scenes by means of a high-level language. The architecture is also based on the active role of a focus of attention mechanism in the link between the conceptual and the linguistic level. The link between the conceptual level and the linguistic level is modelled as a time-delay attractor neural network.

Cognitive scienceVision basedKnowledge representation and reasoningMechanism (biology)Computer sciencebusiness.industryRepresentation (systemics)CognitionCognitive architectureKnowledge RepresentationFocus (linguistics)Artificial IntelligenceArtificial Vision; Artificial Intelligence; Knowledge RepresentationArtificial VisionArtificial intelligenceArchitecturebusiness
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Fuzzy-logic-based approach for identifying objects of interest in the PRIDE framework

2008

On-road autonomous vehicle navigation requires real-time motion planning in the presence of static and moving objects. Based on sensed data of the environment and the current traffic situation, an autonomous vehicle has to plan a path by predicting the future location of objects of interest. In this context, an object of interest is a moving or stationary object in the environment that has a reasonable probability of intersecting the path of the autonomous vehicle within a predetermined time frame. This paper investigates the identification of objects of interest within the PRIDE (PRediction In Dynamic Environments) framework. PRIDE is a multi-resolutional, hierarchical framework that predi…

Collision avoidance (spacecraft)Situation awarenessComputer sciencebusiness.industryReal-time computingContext (language use)Object (computer science)Fuzzy logicIdentification (information)RobotComputer visionMotion planningArtificial intelligencebusinessProceedings of the 8th Workshop on Performance Metrics for Intelligent Systems
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Improving color correction across camera and illumination changes by contextual sample selection

2012

International audience; In many tasks of machine vision applications, it is important that recorded colors remain constant, in the real world scene, even under changes of the illuminants and the cameras. Contrary to the human vision system, a machine vision system exhibits inadequate adaptability to the variation of lighting conditions. Automatic white bal- ance control available in commercial cameras is not sufficient to pro- vide reproducible color classification. We address this problem of color constancy on a large image database acquired with varying digi- tal cameras and lighting conditions. A device-independent color repre- sentation may be obtained by applying a chromatic adaptation…

Color Constancy[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image ProcessingColor normalizationMachine visionComputer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONColor balance02 engineering and technology[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing030218 nuclear medicine & medical imaging03 medical and health sciences0302 clinical medicine[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing0202 electrical engineering electronic engineering information engineeringComputer visionElectrical and Electronic EngineeringContextual improvement. Medical applicationsColor constancybusiness.industryColor correctionImage segmentationAtomic and Molecular Physics and OpticsComputer Science ApplicationsChromatic adaptationRGB color model020201 artificial intelligence & image processingArtificial intelligenceSPIEbusiness[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
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