Fashion House - Dynamic Slideshow - Project for After Effects (VideoHive)

Category: Graphic | Comment: 0


Fashion House - Dynamic Slideshow - Project for After Effects (VideoHive)

Fashion House - Dynamic Slideshow - Project for After Effects (VideoHive)
CS5, CS6, CC | 1920x1080 | AEP | 169 MB

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Dynamic Urban Intro - Project for After Effects (VideoHive)

Category: Graphic | Comment: 0


Dynamic Urban Intro - Project for After Effects (VideoHive)

Dynamic Urban Intro - Project for After Effects (VideoHive)
CS5, CS6, CC | 1920x1080 | AEP | 101 MB

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Dynamic Parallax - Project for After Effects (VideoHive)

Category: Graphic | Comment: 0


Dynamic Parallax - Project for After Effects (VideoHive)

Dynamic Parallax - Project for After Effects (VideoHive)
CS5, CS6, CC | 1920x1080 | AEP | 153 MB

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Dynamic Grunge Opener - Project for After Effects (VideoHive)

Category: Graphic | Comment: 0


Dynamic Grunge Opener - Project for After Effects (VideoHive)

Dynamic Grunge Opener - Project for After Effects (VideoHive)
CS5.5, CS6, CC | 1920x1080 | AEP | 120 MB

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Algorithms and Programs of Dynamic Mixture Estimation

Category: E-Book | Comment: 0


Algorithms and Programs of Dynamic Mixture Estimation

Algorithms and Programs of Dynamic Mixture Estimation: nified Approach to Different Types of Components By Ivan Nagy, Evgenia Suzdaleva
English | PDF | 2017 | 116 Pages | ISBN : 3319646702 | 3.81 MB
This book provides a general theoretical background for constructing the recursive Bayesian estimation algorithms for mixture models. It collects the recursive algorithms for estimating dynamic mixtures of various distributions and brings them in the unified form, providing a scheme for constructing the estimation algorithm for a mixture of components modeled by distributions with reproducible statistics.

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MediaChance Dynamic Auto Painter Pro 5.1 (x86/x64)

Category: Software | Comment: 0

http://i89.fastpic.ru/big/2017/0908/fc/8aa5fe7048dbfeecc8d7cd15451918fc.jpg
MediaChance Dynamic Auto Painter Pro 5.1 (x86/x64) | 145.1/145.6 Mb


Dynamic Auto-Painter - a big step forward in automatic painting. This is a unique program that allows you to turn your photos into paintings, using simulation techniques of drawing the most famous artists of the world. Unlike other similar tools and effects, Dynamic Auto-Painter does not alter the picture itself, it simply uses the image as the original, from which automatically draws the new image using the appropriate brushes and styles. With this you can observe the work program, as the work of this artist.
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MediaChance Dynamic Auto Painter Pro 5.1 (x86/x64) Portable

Category: Software | Comment: 0

MediaChance Dynamic Auto Painter Pro 5.1 (x86/x64) Portable
MediaChance Dynamic Auto Painter Pro 5.1 (x86/x64) Portable | 161.7/160.8 Mb

Dynamic Auto-Painter - a big step forward in automatic painting. This is a unique program that allows you to turn your photos into paintings, using simulation techniques of drawing the most famous artists of the world.

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Dynamic Sketching With Peter Han - Vol. 1, 2

Category: Tutorial | Comment: 0

Dynamic Sketching With Peter Han - Vol. 1, 2
Dynamic Sketching With Peter Han - Vol. 1, 2
2xDVDRip | MP4 | English | 1280 x 720 | AVC ~2995 kbps | 29.970 fps
AAC | 192 Kbps | 48.0 KHz | 2 channels | 12:06:46 | 6.15 GB
Genre: eLearning Video / Drawing, Painting


Course Note:

Foundational drawing is the most important aspect of being a designer. This class is designed to take the lessons from Dynamic Sketching 1, and further the practice of applying those skills in onsite drawing while creating new concepts from particular themes.

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Dynamic Vlog 41922 - After Effects Templates

Category: Graphic | Comment: 0

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Dynamic Vlog 41922 - After Effects Templates
AFTER EFFECTS CS6+ | 1920X1080 (HD) | NO PLUG-INS | 70.57 MB
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Dynamic Data Analysis Modeling Data with Differential Equations

Category: E-Book | Comment: 0


Dynamic Data Analysis Modeling Data with Differential Equations

Dynamic Data Analysis: Modeling Data with Differential Equations By James Ramsay, Giles Hooker
English | EPUB | 2017 | 242 Pages | ISBN : 1493971883 | 3.75 MB
This text focuses on the use of smoothing methods for developing and estimating differential equations following recent developments in functional data analysis and building on techniques described in Ramsay and Silverman (2005) Functional Data Analysis. The central concept of a dynamical system as a buffer that translates sudden changes in input into smooth controlled output responses has led to applications of previously analyzed data, opening up entirely new opportunities for dynamical systems.

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