نتایج جستجو برای: الگوریتم isomap

تعداد نتایج: 22715  

2002
Tobias Friedrich

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...

Journal: : 2022

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...

Journal: : 2022

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...

Journal: :CoRR 2015
Sohini Roychowdhury

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...

Journal: :AGIT Journal 2016
Nikolaus Krismer Doris Silbernagl Johann Gamper Günther Specht

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 ...

2009
Jesús Angulo Fernand Meyer

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...

Journal: :CoRR 2015
Lee Zamparo Zhaolei Zhang

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...

2006
Odest Chadwicke Jenkins Richard Alan Peters Robert E. Bodenheimer

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...

Journal: :Optics express 2014
Chun Hong Yoon Miriam Barthelmess Richard J Bean Flavio Capotondi Richard A Kirian Maya Kiskinova Emanuele Pedersoli Lorenzo Raimondi Francesco Stellato Fenglin Wang Henry N Chapman

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...

2009
Haw-ren Fang Sophia Sakellaridi Yousef Saad

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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