Search results for " selection"

showing 10 items of 1271 documents

Optimized spatio-temporal descriptors for real-time fall detection: comparison of support vector machine and Adaboost-based classification

2013

We propose a supervised approach to detect falls in a home environment using an optimized descriptor adapted to real-time tasks. We introduce a realistic dataset of 222 videos, a new metric allowing evaluation of fall detection performance in a video stream, and an automatically optimized set of spatio-temporal descriptors which fed a supervised classifier. We build the initial spatio-temporal descriptor named STHF using several combinations of transformations of geometrical features (height and width of human body bounding box, the user’s trajectory with her/his orientation, projection histograms, and moments of orders 0, 1, and 2). We study the combinations of usual transformations of the…

Contextual image classificationComputer sciencebusiness.industryFeature extractionWavelet transformFeature selectionPattern recognitionAtomic and Molecular Physics and OpticsComputer Science ApplicationsSupport vector machineMinimum bounding boxRobustness (computer science)Computer visionAdaBoostArtificial intelligenceElectrical and Electronic EngineeringbusinessJournal of Electronic Imaging
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LR-NIMBUS : an interactive algorithm for uncertain multiobjective optimization with lightly robust efficient solutions

2022

In this paper, we develop an interactive algorithm to support a decision maker to find a most preferred lightly robust efficient solution when solving uncertain multiobjective optimization problems. It extends the interactive NIMBUS method. The main idea underlying the designed algorithm, called LR-NIMBUS, is to ask the decision maker for a most acceptable (typical) scenario, find an efficient solution for this scenario satisfying the decision maker, and then apply the derived efficient solution to generate a lightly robust efficient solution. The preferences of the decision maker are incorporated through classifying the objective functions. A lightly robust efficient solution is generated …

Control and OptimizationApplied Mathematicspäätöksentekolight robust efficiencyrobust optimizationmatemaattiset menetelmätportfoliotManagement Science and Operations Researchinteractive methodsarvopaperisalkutskenaariotepävarmuusmonitavoiteoptimointiComputer Science Applicationsuncertain multiple criteria optimizationmenetelmätoptimointialgoritmitinteraktiivisuusBusiness Management and Accounting (miscellaneous)portfolio selection
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Optimisation non-lisse pour l'estimation de composants immunitaires cellulaires dans un environnement tumoral

2021

In this PhD proposal we will investigate new regularization methods of inverse problems that provide an absolute quantification of immune cell subpopulations. The mathematical aspect of this PhD proposal is two-fold. The first goal is to enhance the underlying linear model through a more refined construction of the expression matrix. The second goal is, given this linear model, to derive the best possible estimator. These two issues can be treated in a decoupled way, which is the standard for existing methods such as Cibersort, or as a coupled optimization problem (which is known as blind deconvolution in signal processing).

Coordinate descentProblème inverse[INFO.INFO-OH]Computer Science [cs]/Other [cs.OH]Automatic differentiationBiomedical applicationHyperparameters selectionOptimisation non-LisseÉlection de paramètresDifférentiation automatique[INFO.INFO-OH] Computer Science [cs]/Other [cs.OH]Descente de coordonnéesInverse problemApplication biomédicaleNon-Smooth optimization
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Testing the assumptions of conditional handicap theory: costs and condition dependence of a sexually selected trait

2000

Conditional handicap models of sexual selection predict that sexual traits are reliable signals of male quality because they are (a) condition dependent and (b) costly to produce or maintain. In this study, my objective was to experimentally investigate whether the drumming of male Hygrolycosa rubrofasciata wolf spiders is a condition-dependent costly trait. Males court females by drumming dry leaves with their abdomen and females preferentially mate with males drumming at higher rates. I manipulated male phenotypic condition and drumming rate simultaneously by keeping males on three different food rations and either introducing or not introducing them to a female. Food ration treatment aff…

Courtship displayHygrolycosa rubrofasciataEcologydigestive oral and skin physiologyBiologyFood rationAnimal ecologySexual selectionTraitAnimal Science and ZoologyMatingCondition dependenthealth care economics and organizationsEcology Evolution Behavior and SystematicsDemographyBehavioral Ecology and Sociobiology
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Factors Affecting Male Song Evolution in Drosophila montana

2005

D. montana (a species of the D. virilis group) has spread over the northern hemisphere, populations from different areas showing both genetic and phenotypic divergence. The males of this species produce an elaborate courtship song, which plays a major role both in species recognition and in intraspecific mate choice. The genetic architecture and physical constraints, as well as the importance of the signal for species recognition, set boundaries within which this signal can vary. Within these limits, courtship song parameters may change, depending on the males' physical condition and on the environment they inhabit. Females are likely to affect song evolution by exerting directional selecti…

CourtshipbiologyMate choiceDirectional selectionEcologymedia_common.quotation_subjectSexual selectionSet (psychology)biology.organism_classificationDrosophilaGenetic architectureIntraspecific competitionmedia_common
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Sparse model-based network inference using Gaussian graphical models

2010

We consider the problem of estimating a sparse dynamic Gaussian graphical model with L1 penalized maximum likelihood of structured precision matrix. The structure can consist of specific time dynamics, known presence or absence of links in the graphical model or equality constraints on the parameters. The model is defined on the basis of partial correlations, which results in a specific class precision matrices. A priori L1 penalized maximum likelihood estimation in this class is extremely difficult, because of the above mentioned constraints, the computational complexity of the L1 constraint on the side of the usual positive-definite constraint. The implementation is non-trivial, but we sh…

Covariance SelectionGaussian Graphical ModelStructured Correlation MatrixPenalized likelihoodLassoSDPT3 Algorithm
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Health-related quality of life in elderly cancer patients, elderly non-cancer patients and an elderly general population

2009

Health-related quality of life (QoL) is a major topic within the care for cancer patients (CP). Compared with the general population (GP), QoL of CP is worse in most dimensions; however, only few data comparing QoL of CP with that of other patients have been provided so far. We determined QoL with the European Organization for Research and Treatment of Cancer QLQ-C30 questionnaire in hospitalized patients aged 60 years and older: 195 CP and 130 patients treated for other medical disorders (MP). In addition, data were compared with an age- and gender-stratified German GP. Explorative statistical analyses were performed. The CP aged >or=70 years compared with those aged 60-69 years had decrea…

Cross-Cultural ComparisonMalePediatricsmedicine.medical_specialtyPsychometricsHealth StatusPopulationNon cancerEmotional functioningSex FactorsQuality of lifeNeoplasmsSurveys and QuestionnairesHumansMedicineCognitive skilleducationAgedAged 80 and overHealth related quality of lifeeducation.field_of_studybusiness.industryPatient SelectionAge FactorsCancerMiddle Agedmedicine.diseasehumanitiesOncologyGeriatric oncologyQuality of LifeFemalebusinessEuropean Journal of Cancer Care
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Paternal effects on functional gender account for cryptic dioecy in a perennial plant.

2004

7 páginas, 3 figuras, 1 tabla.

Cryptic dioecyDioecyPopulationZoologySex allocationGerminationGynodioecyGynodioecyBiologymedicine.disease_causeGeneral Biochemistry Genetics and Molecular BiologyPollenmedicineMatingeducationHermaphroditismSex allocationGeneral Environmental Scienceeducation.field_of_studyNatural selectionGeneral Immunology and MicrobiologyEcologyReproductionAndrodioecyfood and beveragesGeneral MedicineFraxinusSeedlingsSeedsGeneral Agricultural and Biological SciencesInbreeding depressionResearch Article
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Culture-level dimensions of social axioms and their correlates across 41 cultures

2004

Leung and colleagues have revealed a five-dimensional structure of social axioms across individuals from five cultural groups. The present research was designed to reveal the culture level factor structure of social axioms and its correlates across 41 nations. An ecological factor analysis on the 60 items of the Social Axioms Survey extracted two factors: Dynamic Externality correlates with value measures tapping collectivism, hierarchy, and conservatism and with national indices indicative of lower social development. Societal Cynicism is less strongly and broadly correlated with previous values measures or other national indices and seems to define a novel cultural syndrome. Its national …

Cultural StudiesSocial PsychologySocial Axioms Survey05 social sciencesCultural group selectionSocial changeCollectivism050109 social psychologySocietal cynicismSocial value orientations050105 experimental psychologyCynicismPsicologiaCultural dimensionsSocial systemAnthropology:Psychology [Social sciences]:Psicologia [Ciências sociais]PsychologyDynamic externality0501 psychology and cognitive sciencesHofstede's cultural dimensions theorySocial axiomsPsychologySocial psychology
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Differential geometric LARS via cyclic coordinate descent method

2012

We address the problem of how to compute the coefficient path implicitly defined by the differential geometric LARS (dgLARS) method in a high-dimensional setting. Although the geometrical theory developed to define the dgLARS method does not need of the definition of a penalty function, we show that it is possible to develop a cyclic coordinate descent algorithm to compute the solution curve in a high-dimensional setting. Simulation studies show that the proposed algorithm is significantly faster than the prediction-corrector algorithm originally developed to compute the dgLARS solution curve.

Cyclic coordinate descent method Differential geometry dgLARS Generalized linear models LARS Sparse models Variable selectionSettore SECS-S/01 - Statistica
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