نتایج جستجو برای: الگوریتم isomap
تعداد نتایج: 22715 فیلتر نتایج به سال:
Real data of natural and social sciences is often very high-dimensional. However, the underlying structure can in many cases be described by a small number of features. Recently two new nonlinear methods for reducing the dimensionality of such data, Locally Linear Embedding and Isomap, have been suggested and successfully applied. This report compares both algorithms by means of several synthet...
در این پژوهش مسئله زمانبندی کار کارگاهی منعطف با ماشینهای موازی درنظرگرفتن معیار تولید پاکتر، منابع دوگانه انسان-ماشین، زمان دسترسی کارها و پردازش وابسته به سرعت ماشینها بررسی میشود. اهداف شامل حداقلکردن مجموع جریمههای دیرکرد زودکرد افزایش است. داده میشود تا تکمیل کاهش یابد. درحالیکه آلودگی صوتی محیط تولیدی منجر توجه رویکرد پاکتر که نگرشی پیشگیرانه است، اینجا سعی شده است حداقلکردن...
در این مقاله یک مدل ریاضی برای مسئله سیستم تولیدی همکارانه ساخت بر اساس سفارش با رعایت انصاف تخصیص بارهای تولید طراحی شده است. اهداف اصلی مدل، کمینهسازی هزینههای کل و حداکثر استفاده از منابع بهمنظور عادلانه شرایط عدمقطعیت کنترل پارامترهای غیرقطعی روش برنامهریزی فازی شده نتایج نشان میدهد افزایش نرخ عدمقطعیت، مییابد. ازآنجاکه ظرفیت کارخانهها ثابت است، مقدار تقاضا، هر کارخانه نیز میی...
Automated facial expression detection problem pose two primary challenges that include variations in expression and facial occlusions (glasses, beard, mustache or face covers). In this paper we introduce a novel automated patch creation technique that masks a particular region of interest in the face, followed by Eigen-value decomposition of the patched faces and generation of Isomaps to detect...
Using data from OpenStreetMap and information about the public transportation the tool “osmPti2mmds” presented in this paper creates datasets that can be used to carry out multimodal analyses. As part of this process GTFS or VDV452 archive files are linked to data from OpenStreetMap in such a way that multimodal routing and reachability analyses are possible. By using this combined information ...
The aim of this paper is to propose efficient tools for analysing shape families using morphological operators. The developments include the definition of shape statistics (mean and variance of shapes, modes of shape variation) and the interpolation/extrapolation in shape geodesic paths. The main required ingredients for the operators and the algorithms here introduced are well known in mathema...
High-content screening uses large collections of unlabeled cell image data to reason about genetics or cell biology. Two important tasks are to identify those cells which bear interesting phenotypes, and to identify sub-populations enriched for these phenotypes. This exploratory data analysis usually involves dimensionality reduction followed by clustering, in the hope that clusters represent a...
Experiments were performed with the NASA Robonaut to determine if manifold learning could discern successful and unsuccessful teleoperation trials in an unsupervised manner. Repeated teleoperation of drill-mating and chisel-pickup tasks were performed by a skilled teleoperator. Spatio-temporal Isomap (STI) was used to embed data from the robot’s sensory-motor state-space (SMSS) to uncover under...
Knowledge of the sequence of different conformational states of a protein molecule is key to better understanding its biological function. A diffraction pattern from a single conformational state can be captured with an ultrafast X-ray Free-Electron Laser (XFEL) before the target is completely annihilated by the radiation. In this paper, we report the first experimental demonstration of conform...
Nonlinear dimensionality reduction techniques for manifold learning, e.g., Isomap, may become exceedingly expensive to carry out for large data sets. This paper explores a multilevel framework with the goal of reducing the cost of unsupervised manifold learning. In addition to savings in computational time, the proposed multilevel technique essentially preserves the geodesic information, and so...
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