نتایج جستجو برای: sequential implicit method

تعداد نتایج: 1733300  

2005
Yindi Zhao Liangpei Zhang

Multichannel Gabor filters (MGFs) and Markov random fields (MRFs) are two common methods for texture classification. However, the two above methods make the implicit assumption that textures are acquired in the same viewpoint, which is unsuitable for rotation-invariant texture classification. In this paper, rotation-invariant (RI) texture features are developed based on MGF and MRF. A novel alg...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه علم و صنعت ایران 1378

در این رساله ابتدا با ذکر مقدمه ای در خصوص ربات های الاستیک ، مدل سیستم بازوهای صلب معادل یا equivalent rigid link system (erls) برای بررسی سینماتیک و دینامیک رباتهای صلب ارائه می گردد. بر اساس این مدل حرکت کلی سیستم به دو نوع حرکت بزرگ و کوچک تقسیم می شود، حرکات بزرگ و کوچک تقسیم می شود، حرکات بزرگ بیانگر حرکت ربات با فرض صلب بودن بازوهای آن است و حرکات کوچک بیانگر حرکات ناشی از تغییر فرم نسبی...

2018
Cem Subakan Oluwasanmi Kojeyo Paris Smaragdis

Popular generative model learning methods such as Generative Adversarial Networks (GANs), and Variational Autoencoders (VAE) enforce the latent representation to follow simple distributions such as isotropic Gaussian. In this paper, we argue that learning a complicated distribution over the latent space of an auto-encoder enables more accurate modeling of complicated data distributions. Based o...

Journal: :Vision Research 2014
J. Farley Norman Jacob R. Cheeseman Michael W. Baxter Kelsey E. Thomason Olivia C. Adkins Connor E. Rogers

Younger (20-25 years of age) and older (61-79 years) adults were evaluated for their ability to visually discriminate length. Almost all experiments that have utilized the method of single stimuli to date have required participants to judge test stimuli relative to a single implicit standard (for a rare exception, see Morgan, On the scaling of size judgements by orientational cues, Vision Resea...

Manoochehr Jafarigohar Mehri Jalali,

This study set out to explore whether different input enhancement tasks as implicit instruction techniques had any significant impact on the intake of causative verbs in English as a foreign language among Iranian EFL learners. For this purpose, three intact classes consisting of 75 male and female intermediate L2 learners were randomly divided into three conditions: simultaneous grammar consci...

B. Hassani, S. M. Tavakkoli ,

A new method for structural topology optimization is introduced which employs the Isogeometric Analysis (IA) method. In this approach, an implicit function is constructed over the whole domain by Non-Uniform Rational B-Spline (NURBS) basis functions which are also used for creating the geometry and the surface of solution of the elasticity problem. Inspiration of the level set method zero level...

2010
Jim Lambers

We have learned that the numerical solution obtained from Euler's method, converges to the exact solution () of the initial value problem ′ = (,), (0) = 0 , as ℎ → 0. We now analyze the convergence of a general one-step method of the form +1 = + ℎΦ(, , ℎ), for some continuous function Φ(, , ℎ). We define the local truncation error of this one-step method by (ℎ) = (+1) − () ℎ − Φ(, (), ℎ). That ...

2016
Giacomo Kahn Yannick Loiseau Olivier Raynaud

Classification of sequential data (data obtained from series of actions in chronological order) has many applications in security, marketing or ergonomy. In this paper, we present a tool for classification of sequential data. We introduce a new clean dataset of web-browsing logs, and study the case of implicit authentification from web-browsing. We then detail more of the functioning of the too...

Journal: :Computers in Industry 2001
Yeh-Liang Hsu Ming-Sho Hsu

This paper describes a weight reduction problem of aluminum disc wheels under cornering fatigue constraints. It is a special structural optimization problem because of the existence of the implicit fatigue constraint. A sequential neural network approximation method is presented to solve this type of discrete-variable engineering optimization problems. First a back-propagation neural network is...

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