نتایج جستجو برای: person ensemble between 1921
تعداد نتایج: 2930360 فیلتر نتایج به سال:
Introduction Previous researches have not distinguished between-person effects from within-person when exploring the relationship between self-esteem, coping styles, and anxiety symptoms among adolescents. Objectives To address this gap, study investigated reciprocal associations in a three-wave longitudinal panel survey, using an analytical strategy that disaggregates variance. Methods The dat...
Despite the many advances in face recognition technology, practical face detection and matching for unconstrained images remain challenging. A real-world Face Image Retrieval (FIR) system is described in this paper. It is based on an optimally weighted image descriptor ensemble utilized in a single-imageper-person (SIPP) approach that works with large unconstrained digital photo collections. Th...
We researched and developed a practical methodology for face and image retrieval (FIR) based on optimally weighted image descriptor ensemble. We describe a single-image-per-person (SIPP) face image retrieval system for real-world applications that include large photo collection search, person location in disaster scenarios, semi-automatic image data annotation, etc. Our system provides efficien...
classification ensemble, which uses the weighed polling of outputs, is the art of combining a set of basic classifiers for generating high-performance, robust and more stable results. this study aims to improve the results of identifying the persian handwritten letters using error correcting output coding (ecoc) ensemble method. furthermore, the feature selection is used to reduce the costs of ...
Note: The abstracts have been processed automatically using the abstract forms e-mailed by the authors. Only one substantive type of modification has been applied, i.e., in a few cases the co-author has been named first, if only he/she will participate in the Workshop. In Japan, there are severe requirement of cutting off costs in the industry and it is spread out even to the delivery of their ...
Clustering algorithms are highly dependent on different factors such as the number of clusters, the specific clustering algorithm, and the used distance measure. Inspired from ensemble classification, one approach to reduce the effect of these factors on the final clustering is ensemble clustering. Since weighting the base classifiers has been a successful idea in ensemble classification, in th...
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