نتایج جستجو برای: large update methods
تعداد نتایج: 2775750 فیلتر نتایج به سال:
Community detection is a challenging optimization problem that consists of searching for communities that belong to a network under the assumption that the nodes of the same community share properties that enable the detection of new characteristics or functional relationships in the network. Although there are many algorithms developed for community detection, most of them are unsuitable when ...
Mobile IM (Instant Messaging) users are more frequently online and offline than fixed users. It incurs large presence message traffic that significantly consumes the limited service resources. Some studies indicate that presence delayed update can effectively reduce the traffic. Firstly, we analyze presence update process and research presence distribution. Secondly, we use mathematical model t...
امروزه اساتید دانشگاه با مشکل تعداد زیاد فراگیران در کلاس های درس مواجه هستند. لذا برای ارائه مطالب درسی از سخنرانی برای حل این مشکل استفاده می کنند. اگر چه سخنرانی یکی از راه های حل این مشکل می باشد اما منجر به یادگیری عمیق مطالب درسی نمی شود. در مقابل سازنده گراها استفاده از روش های یادگیری فعال را برای استفاده در کلاس های درس بزرگ پیشنهاد می کنند. بنابراین هدف این مطالعه شناسایی روش های یادگ...
Visual object tracking is required in many tasks such as video compression, surveillance, automated video analysis, etc. mean shift algorithm is one of popular methods to this task and has some advantages comparing to other tracking methods. This method would not be appropriate in the case of large target appearance changes and occlusion; therefore target model update could actually improve thi...
Problem statement: Memoryless QN methods have been regarded effective techniques for solving large-scale problems that can be considered as one step limited memory QN methods. In this study, we present a scaled memoryless modified Symmetric Rank-One (SR1) algorithm and investigate the numerical performance of the proposed algorithm for solving large-scale unconstrained optimization problems. Ap...
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