# Ppt on 2d transformation in computer graphics by baker

##### 1 EEL 5771-001 Introduction to Computer Graphics PPT1: Principles of Graphics Systems Akshay Rao Voora U65564530.

are a convenient and efficient way to represent a sequence of transformations Representing 2D transformation by a matrix Multiplying matrix by column vector applies transformation to point Virtual Reality (VR) devices Head Mounted Displays The / References 1)Computer Graphics by Donald Hearn and M. Pauline Baker 2)http://vjit.ac.in/wp-content/uploads/sites/9/COMPUTER-GRAPHICS-Lecture-Notes-on- UNIT-I.pdf 3)https://www.scribd.com/doc/76384795/computer-notes-Display-Devices-in-Computer- Graphics 4)http:///

##### SI23 Introduction to Computer Graphics

screen space via a sequence of transformations This lecture looks at how we shade/2D polygons with a constant colour find ymin, ymax of vertices from ymin to ymax do: find intersection with polygon edges fill in pixels between intersections using specified colour See lecture 6 for details of algorithm with edge tables etc See also Hearn&Baker/ Gouraud is another pioneering figure in computer graphics http://www.univ-reims.fr//are crossed This ‘discontinuity’ is accentuated by the human visual system, so that /

##### COMPUTER GRAPHICS 2D TRANSFORMATIONS.

COMPUTER GRAPHICS 2D TRANSFORMATIONS 2D TransformationsTransformations are the operations applied to geometrical description of an object to change its position, orientation, or size are called geometric transformations”. Why Transformations ? “Transformations are needed to manipulate the initially created object and to display the modified object without having to redraw it.” Translation Rotation Scaling Uniform Scaling Un-uniform Scaling Reflection Shear Translation A translation moves all points in an /

##### Computer Graphics 2D Transformations. 2 of 74 Contents In today’s lecture we’ll cover the following: –Why transformations –Transformations Translation.

Graphics 2D Transformations 2 of 74 Contents In today’s lecture we’ll cover the following: –Why transformationsTransformations Translation Scaling Rotation –Homogeneous coordinates –Matrix multiplications –Combining transformations 3 of 74 Why Transformations? In graphics, once we have an object described, transformations are used to move that object, scale it and rotate it Images taken from Hearn & Baker, “Computer Graphics with OpenGL” (2004) 4 of 74 Translation A translation is applied to an object by/

##### 1GR2-00 GR2 Advanced Computer Graphics AGR Ken Brodlie Lecture 1 - Overview.

display n To understand how to deliver interactive animated 3D graphics over the Internet n To be able to create interactive 3D graphics applications using industry standard software (OpenGL and VRML) 3GR2-00 Lecture Outline - The Basics n MODELLING – representing objects in 3D – transforming objects and composing scenes n VIEWING – projecting 3D scenes onto a 2D display surface n RENDERING – illumination – shading – adding realism via/

##### 7.1 si31_2001 SI31 Advanced Computer Graphics AGR Lecture 7 Polygon Shading Techniques.

projected to screen space via a sequence of transformations This lecture looks at how we shade the /2D Graphics - Filling a Polygon n Scan line methods used to fill 2D polygons with a constant colour – find ymin, ymax of vertices – from ymin to ymax do: – find intersection with polygon edges – fill in pixels between intersections using specified colour See: Hearn&Baker, Ch 3 - or try applet at: www.computing/ crossed Mach banding n This discontinuity is accentuated by the human visual system, so that we see/

##### Welcome! Katie Rahlin Good morning My name is Katie Rahlin

. Stahlin Bros Fibre Works Inc., 575 F. 2d 1152 (6th Cir. 1978). Lost profits (cont/ found that the project goals are primarily transformative uses Court recognized that it is sometimes /unprotectable elements and compare the rest Idea expression dichotomy: Baker v. Selden, 101 U.S. 99 (1879)/ by Online Computer Library Center (OCLC)) Medical procedure/billing coding systems Intellectual Property: Key Topics for In-/ patents Judge: Lucy H. Koh D627,790 Graphical user interface for a display screen or portion/

##### SIMD, Associative, and Multi-Associative Computing Computational Models and Algorithms.

) Basic Properties of ASC 26 Basic Properties of ASC –The PE communications network is normally supported by an interconnection network E.g., a 2D mesh –The broadcast/reduction network(s) are normally supported by a broadcast and a reduction network (sometimes combined). See posted paper by Jin, Baker, & Batcher (listed in associative references) Control Features –PEs and the IS and the networks all operate synchronously, using/

##### 1 CPE 333 : Computer Graphics มหาวิทยาลัยเทคโนโลยีพระจอม เกล้าธนบุรี Dr. Natasha Dejdumrong.

เกล้าธนบุรี Dr. Natasha Dejdumrong 2 Course Description Line Drawing Circle Drawing [ Ellipse Drawing ] 2D and 3D Transformations Line and Polygon Clipping techniques 3D Viewing Geometric Modeling: Representation of Curves and Surfaces, Solid Modeling Hidden Surface Removal Algorithms Illumination and Shading models Ray tracing 3 Text Book and Supplements Textbook – Hearn Baker, Computer Graphics with OpenGL, 3rd Ed., Pearson International Edition, 2004. Lecture Note Powerpoints 4 Schedule/

##### TEXT BOOK : DONALD HEARN & M.PAULINE BAKER A Survey of COMPUTER GRAPHICS.

. Examples : Cartoon drawing, paintings, product advertisements, logo design Computer Art Electronic painting Picture painted electronically on a graphics tablet (digitizer) using a stylus Cordless, pressure sensitive stylus Morphing A graphics method in which one object is transformed into another 4.Entertainment Movie Industry Used in motion pictures, music videos, and television shows. Used in making of cartoon animation films Computer Graphics is about animation (films) Game Industry Focus on/

##### 1 EEL 5771-001 Introduction to Computer Graphics PPT2: Graphics Output Primitives By Arunbalaji Prithiviraj (U80066848)

in 2-D screen coordinates Clip against hither and yon planes Transform/]: 2D, /by manipulating the curve definition for the character outlines. It does take more time to process the outline fonts, because they must be scan converted into frame buffer. 83 References Hughes, John F., et al. Computer graphics: principles and practice. Pearson Education, 2013. Van Dam, Andries, et al. Introduction to computer graphics. Vol. 55. Reading: Addison-Wesley, 1994. Hearn, Donald, and M. Pauline Baker. "Computer Graphics/

##### Graphic Systems. Basic Graphics System Input devices Output device Image formed in FB [Edward Angel, Interactive computer Graphics, 2009]

execute sequentially Typical ‘pipeline’ model There are two graphics pipelines: ◦ The Geometry or 3D pipeline ◦ The Imaging or 2D pipeline Geometry/3D Pipeline Modeling: shapes Shading: reflection and lighting Transformation: viewing Hidden Surface Elimination Imaging Pipeline Imaging/2D Pipeline Rasterization Texture Mapping Image Composition Intensity and Colour Quantization Geometry Framebuffer/Display Pipeline Rasterization The process by which our geometry is converted to pixel sequences on/

##### CS 450: COMPUTER GRAPHICS COURSE AND SYLLABUS OVERVIEW SPRING 2015 DR. MICHAEL J. REALE.

Computer Graphics! Computer Graphics is, simply put, the art and science of using computers to generate imagery. In this course, we will: Present and discuss computer graphics approaches, theory, and techniques Implement some of these approaches both with and without OpenGL TOPICS COVERED The Fundamentals of Computer Graphics OpenGL/GLUT Drawing Lines and Curves Drawing and Filling Polygons Basic Antialiasing 2D and 3D Transformations 2D/Textbook: “Computer Graphics with OpenGL” by Hearn and Baker, 3rd /

##### Introduction to Computer Graphics EEL 5771-001 PPT3: Attributes of Graphics Primitives Karthick Rajendran U3116-6141.

look-up table. 9 Color : Color look-upTable A color look-up table (CLUT) is a mechanism used to transform a range of input colors into another range of colors. It can be a hardware device built into an imaging /The algorithm (Hearn, Baker, Carithers, Computer Graphics) Scan-line algorithms Purpose: given a set of (2D) vertex coordinates for a polygon, fill the area surrounded by the polygon Polygons can be filled with a uniform colour or texture Scan Line Algorithm - Outline Essential in rendering, i.e./

##### CS559: Computer Graphics Lecture 13: Hierarchical Modeling and Curves Li Zhang Spring 2010.

Computer Graphics Lecture 13: Hierarchical Modeling and Curves Li Zhang Spring 2010 Last time: 3D Example: A robot arm Consider this robot arm with 3 degrees of freedom: – Base rotates about its vertical axis by  – Upper arm rotates in its xy-plane by  – Lower arm rotates in its xy-plane by/ – edges contain geometric transformations – nodes contain geometry/in the same curve What are Parametric Curves? Define a mapping from parameter space to 2D/baker/java/hoefer/L agrange.htm http://www.math.ucla.edu/~baker/

##### Combinatorial Optimization and Computer Vision Philip Torr.

+ Contrast Likelihood Ratio (Colour) Object Graphical Model Probability of labelling in addition has Unary potential which depend on distance/2D Gaussian. Chamfer Match Score Outline (z 1 ) : minimum chamfer distances over multiple outline exemplars d cham = 1/n Σ i min{ min j ||u i -v j ||, τ } ImageEdge Image Distance Transform/. Geman, 97?; S. Baker, S. Nayer 95 High / chamfer distance and pre computed distance map. Remaining candidates/to/from the terminals Create capacity by adding α = excess to both/

##### 1.1 SI31_2001 SI31 Advanced Computer Graphics AGR Ken Brodlie Lecture 1 - Overview.

n To understand how to deliver interactive animated 3D graphics over the Internet n To be able to create interactive 3D graphics applications using industry standard software (OpenGL, VRML and POVRAY) 1.3 SI31_2001 Lecture Outline - The Basics n MODELLING – representing objects in 3D – transforming objects and composing scenes n VIEWING – projecting 3D scenes onto a 2D display surface n RENDERING – illumination – shading – adding realism/

##### CS 4731: Computer Graphics Lecture 9: Introduction to 3D Modeling Emmanuel Agu.

famous Utah Teapot has become an unofficial computer graphics mascot Again, you need to apply transformations to position it at the right spot glutWireTeapot(0.5) - Create a teapot with size 0.5, and position its center at (0,0,0) Also glutSolidTeapot( ) 3D Modeling: GLUT Models Without GLUT models: Use generating functions More work!! Example: Look in examples bounce, gears, etc. What does/

##### COS 397 Computer Graphics Svetla Boytcheva AUBG, Spring 2013.

Course Materials dotLRN Used resources: –“Fundamentals of Computer Graphicsby Peter Shirley, Michael Ashikhmin and Steve Marschner, Publisher: A K Peters; 3rd Revised edition – “Interactive Computer Graphics: A Top-Down Approach Using OpenGL” by Edward Ange, Publisher: Addison Wesley; 5th edition –"Computer Graphics with Open GL" by Donald D. Hearn, M. Pauline Baker and Warren Carithers. Publisher: Prentice Hall; 4th edition –"Interactive Computer Graphics: A Top-Down Approach with Shader-Based OpenGL/

##### SI23 Introduction to Computer Graphics

Computer Graphics Lecture 11 – 3D Graphics Transformation Pipeline: Modelling and Viewing Getting Started with OpenGL 3D Transformation Pipeline 3D graphics objects pass through a series of transformations before they are displayed Objects created in modelling co-ordinates mod’g co-ords world viewing Viewing Transform’n Projection Transform’n Modelling Transform’n Position object in/ T P P’ 11 Scaling Scaling by Sx, Sy, Sz relative to the / calculated? READING: Hearn and Baker, chapter 11 18 Interlude: /

##### Image Based Rendering And Modeling Techniques And Their Applications Jiao-ying Shi State Key laboratory of Computer Aided Design and Graphics Zhejiang.

representation in IBR: –polyhedra(Debevec, et. al 1996) –layers (Baker, Szeliski and Anandan 1998) –points(Shade et al. 1998) Similar to traditional Computer Graphics, /2D image? It is impossible to get depth information of the object from a 2D image. IBM Methods Using Passive Cues It is possible to recover the depth information of the object by/each image Main challenges for model merging procedure How to transform all the models in different local coordinates to one world coordinate frame? Model integration/

##### Implementation of Parallel Processing Techniques on Graphical Processing Units Brad Baker, Wayne Haney, Dr. Charles Choi.

Graphical Processing Units Brad Baker, Wayne Haney, Dr. Charles Choi 2 Industry Direction  High performance COTS computing/. CUDA Standard FFT and BLAS libraries. 1D, 2D, and 3D transforms of complex and real ‐ valued data up to/ 16k. C, C++ not fully supported (no classes definitions but supports function templates). Supports thread communication. CTM No mathematic libraries provided. Examples provided by the vendor for FFTs and Matrix multiply. Program in/

##### M. Wu: ENEE631 Digital Image Processing (Spring09) More on Motion Analysis Spring ’09 Instructor: Min Wu Electrical and Computer Engineering Department,

[Rx] y’ y x’ x z  UMCP ENEE631 Slides (created by M.Wu © 2001) M. Wu: ENEE631 Digital Image Processing (Spring09) Lec18 – More on Motion Analysis [27] Pin-Hole Camera Model: 3D Scene to 2D Image Perspective projection: x = X  (F/Z), y = Y/approaches Geometric transforms on images –Rotation/Scale/Translation; Homogeneous coordinates –High-order mapping Next Lecture: –Sampling and resampling issues in 2-D and 3-D Readings –Wang’s book: Sec. 6.1 – 6.3 –“Computer Graphics” Chapter 5 (Hearn-Baker, Prentice-Hall/

##### Voids and pockets in proteins: packing, folding, evolution, and biological functions Jie Liang Dept. of Bioengineering University of Illinois at Chicago.

pivot) moves Allowed moves are physically realizable on 2D square lattice. Transition rate from Metropolis dynamics: Kinetics/ biased by evolution. (Scalley-Kim and Baker, 2004) Folding rates: –Not determined by native/. Graphics. 1994. Edelsbrunner, Disc Comput Geom. 1995. Edelsbrunner, Facello, and Liang, Discrete Applied Math. 1998.) Voids and Pockets in Soluble/in the same column of MSA defined as Sampled Pairs and S ij are estimated by Baysian MCMC } Rate matrix Q and residue similarity score Transforming/

##### University of Texas at Austin CS384G - Computer Graphics Spring 2010 Don Fussell Displays and Framebuffers.

of Texas at Austin CS384G - Computer Graphics Spring 2010 Don Fussell Liquid Crystal Displays CRTs are rapidly being displaced by liquid crystal displays (LCD’s). /- Computer Graphics Spring 2010 Don Fussell OpenGL The API we’ll be using for drawing to the framebuffer is OpenGL. For 2D graphics, /The Fourier Transform and Its Applications, McGraw-Hill. (This is an entire book) Don P. Mitchell and Arun N. Netravali, “Reconstruction Filters in Computer Computer Graphics,” Computer Graphics, (Proceedings of/

##### 9/22/2015 1 CMPUT 615 student reading and in- class presentation Purpose: Learn how to research for information about robotics projects. –Search web, library.

in each image. Stabilization based tracking Formulate image geometry and appearance equations and use these acquire image transform parameters for each image. 9/22/2015 16 Point tracking Simplest technique. Already commercialized in/ By Simon Baker and Iain MatthewsSimon BakerIain Matthews International Journal of Computer VisionInternational Journal of Computer /al., 1998; Sclaroff & Isidoro, 1998] 9/22/2015 44 Graphics-like system –Primitive features –Geometric constraints Fast local image processing –/

##### Computer Vision CSE576, Spring 2005 Richard Szeliski

warping the input images (perspective transformation) so that epipolar lines are/ programming Can we apply this trick in 2D as well? dx-1,y dx/Computer Graphics and Applications, 13(1), January 1993, pp. 60-70. S. B. Kang, R. Szeliski, and J. Chai. Handling occlusions in dense multi-view stereo. In/Computer Vision (ICCV), 1998, pp. 17-24. Kutulakos & Seitz, “A Theory of Shape by Space Carving”, Proc. ICCV, 1998, pp. 307-314. CSE 576, Spring 2005 Stereo matching Bibliography Related References Bolles, Baker/

##### University College Dublin1 Introduction to Computer Graphics COMP 3003.

Dam, Feiner, Huges u Computer Graphics – D. Hearn, M. P. Baker u 3D Computer Graphics – Alan Watt u Computer Graphics – F.S. Hill, JR. u Fundamentals of Digital Image Processing – Anil K. Jain University College Dublin3 Course Overview u Hardware, Input & Output - Display Technology u The Eye and image perception u Colours & Colour Models u Object Modelling u 2D Viewing - Windows and Viewports u Transformations - Matrix Representation u Bezier/

##### Stereo Matching Computer Vision CSE576, Spring 2005 Richard Szeliski.

warping the input images (perspective transformation) so that epipolar lines are / programming Can we apply this trick in 2D as well? d x,y d/Computer Graphics and Applications, 13(1), January 1993, pp. 60-70. S. B. Kang, R. Szeliski, and J. Chai. Handling occlusions in dense multi- view stereo. In/Computer Vision (ICCV), 1998, pp. 17-24. Kutulakos & Seitz, “A Theory of Shape by Space Carving”, Proc. ICCV, 1998, pp. 307-314. Bibliography CSE 576, Spring 2008Stereo matching72 Related References Bolles, Baker/

##### CS 325 Introduction to Computer Graphics 01 / 29 / 2010 Instructor: Michael Eckmann.

models like HSV and why theyre useful Know that different color models can be transformed into each other by a transform matrix. Michael Eckmann - Skidmore College - CS 325 - Spring 2010 Michael Eckmann/compute x. What does that mean? In the DDA, the parameter u (from the parametric equation of a line) is 1/steps. Lets take a look at the code for this algorithm and “execute” it with actual values on the board. Michael Eckmann - Skidmore College - CS 376 - Spring 2010 From Hearn & Bakers Computer Graphics/

##### ENEE631 Digital Image Processing (Spring04) Interpolation, Geometric Transform, and More on Motion Analysis Spring ’04 Instructor: Min Wu ECE Department,

Fig.5.1 & 5.2(a) UMCP ENEE631 Slides (created by M.Wu © 2001) ENEE631 Digital Image Processing (Spring04) Lec22 – Motion Analysis [29] 3D Motion Vector D(X; t1, t2) (projected) 2D Motion Vector d(x; t1, t2) Image plane Mapping function/ approaches Geometric transforms on images –Rotation/Scale/Translation; Homogeneous coordinates –High-order mapping Next Lecture: –Sampling and resampling issues in 2-D and 3-D Readings –Wang’s book: Sec. 6.1 – 6.3 –“Computer Graphics” Chapter 5 (Hearn-Baker, Prentice-Hall/

##### Structure elucidation by NMR and computer-assisted structure generation of bi- and tri-cyclic products derived from electrocyclic rearrangements in biomimetic.

transformations using thermal, photochemical and heterogeneous catalysis as possible routes to biologically active molecules. Extensive 1D and 2D NMR analysis of the resulting products was employed to elucidate the structures of the rearranged products. The complexities we encountered in determining unambiguous structures led us to consider the application of Computer-Assisted Structure Elucidation (CASE) programs in/ by /on a Silicon Graphics O2 workstation. Details/Baker-Glenn for his valuable assistance in/

##### I N T R O D U C T I O N T O C O M P U T E R G R A P H I C S CIS 736 Computer Graphics Lecture 23 of 42 BSP 2 of 2: Potentially Visible Sets & Video Games.

Computer Graphics Lecture 23 of 42 BSP 2 of 2: Potentially Visible Sets & Video Games (concluded) Wednesday, 08 March 2006 Reading: Hardware Rendering (shader_lecture) Adapted with permission from slides by/reading (optional): 10.15-10.17 Hearn and Baker 2 e Outside reading (required): Slide Set / store it, transform it, light it, clip it… bah! Use them in ways they aren/ how to obtain for 2D, 3D scenes Binary Space Partitioning (BSP) trees – know how to obtain for simple 2D object Constructive Solid Geometry/

##### Statistical Challenges in Proteomics Shortcourse Joint Statistical Meetings Denver, CO 2008 Scott C. Schmidler Department of Statistical Science Duke University.

of Statistical Science Program in Computational Biology & Bioinformatics Program in Structural Biology & Biophysics//pdb/software-list.html - Graphics 33 Viewing protein structures Rasmol demo/ flexible matching 62 Transformations with changepoints Consider as a sequence of transformations Introduce changepoints j /Baker et al) –Build up library of short protein fragments from PDB structures –Conformational sampling by/is hard (F. Seillier-Moiseiwitsch) 113 2D PAGE Many difficulties: –Requires substantial pre/

##### Digital Camera and Computer Vision Laboratory Department of Computer Science and Information Engineering National Taiwan University, Taipei, Taiwan, R.O.C.

example, to control the displayed Level Of Detail (LOD) in a computer graphics application. DC & CV Lab. CSIE NTU 12.3.2/ level sets Examples of signed distance functions being used - distance transforms (Section 3.3.3) - level sets for 2D contour fitting and tracking (Section 5.1.4) - volumetric /Baker 2007), as shown in Figures 4.29 and 14.24 face transfer, i.e., replacing one person’s face with another in a video (Bregler, Covell, and Slaney 1997; Vlasic, Brand, Pfister et al.2005) face beautification by/

##### Randomized Motion Planning: From Intelligent CAD to Digital Actors to Protein Folding Nancy M. Amato Department of Computer Science Texas A&M University.

transformed into a collision free path by deforming the object. Hard Motion Planning Problems: Flocking: Covering, Homing, Shepherding Hard Motion Planning Problems - computational biology & chemistry Protein Folding - find folding pathways Drug Design -molecule docking Outline C-space, Planning in/is selfish l Applications –Computer graphics, VR, games –/in same landscape (roadmap) –natural way to study the statistical behavior of folding –more realistic than statistical models (e.g. Lattice models, Baker/

##### Multiple View Geometry & Stereo

in single point). However, degenerate case leads to simpler 3 view algorithm for pure rotation Radial trifocal tensor Tijk from 7 points in 3 views Reconstruct 2D /All epipolar lines are parallel in the rectified image plane. Image pair rectification simplify stereo matching by warping the images Apply projective transformation so that epipolar lines /Use Kalman filter Allows to compute robust texture Real-time stereo on graphics hardware Yang and Pollefeys CVPR03 Computes Sum-of-Square-Differences Hardware/

##### Information Management for Genome Level Bioinformatics Norman Paton and Carole Goble Department of Computer Science University of Manchester Manchester,

A friendly fungus: brewer’s and baker’s yeast. http://genome- www.stanford.edu/ Saccharomyces/ A Genome Data Model Genome Chromosome Chromosome/ paste, point and click Query by navigation Results in flat file formats or graphical Screen-scrapping Perl scripts over downloaded flat files The most/ hold Annotation and Curation “the elucidation and description of biologically relevant features [in a sequence]” 1. Computationally formed – e.g. cross references to other database entries, date collected;/

##### Recent Methods for Image-based Modeling and Rendering

computer algorithms geometry, physics computer algorithms synthetic images synthetic images Confluence of Computer Graphics and Vision Traditional computer graphics (image synthesis, forward modeling) Creating artificial images and videos from scratch Computer vision & image processing (image analysis & transformation/is intesity difference (Baker et.al. 2003) Hence there are often local ambiguities Photo-Consistent Hull In cases of structural / Augment 2D texture map with depth map Render new views by 3D /

##### 3D Viewing Revision 1.4 Copyright Zachary Wartell at University of North Carolina All Rights Reserved Textbook: Chapter 7 ©Zachary Wartell , Larry F.

2D Perspective Projection Loses Depth Mpers2D_1 and Mpers2D_2 map 3D space to 2D space (non-invertible transform) preserve straight lines don’t (in general) preserve parallelism don’t (in general) preserve distance ratios 3D→2D: without depth we can’t talk about visibility which we need for graphics! visible PRP 3D→2D transform/in the perspective case). ©Zachary Wartell 4/16/2017 3D→2D Perspective Projection: Convention 3 Convention 3: (Hearn & Baker/ with zwmin (= -1) ●Compute xp and yp. If they’re/

##### HPC Directions at the U.S. National Science Foundation Jim Kasdorf Director, Special Projects Pittsburgh Supercomputing Center Stichting Academisch Rekencentrum.

Computer Science Cray “Baker” system: Kraken \$58,233,304 9 Petaflop NSF Computing/Transforming Science through Productive Petascale Computing. October 5, 2005 13 Track 2C Silicon Graphics Declares Bankruptcy and Sells Itself for \$25 Million: by Erik Schonfeld on April 1, 2009 Sadly, this is no April Fool’s joke. Silicon Graphics, the high-end computer computer workstation and server company founded by Jim Clark in/18 Track 2D / Experimental Keeneland: National Institute for Experimental Computing Georgia Tech/

##### Deep Learning from Speech Analysis/Recognition to Language/Multimodal Processing Li Deng Deep Learning Technology Center, Microsoft Research, Redmond,

transformations automatically layer by layer) The first use of spectrogram features in/Computational Intelligence Mag., vol. 5, pp. 13-18, November, 2010. Arisoy E., Sainath, T., Kingsbury, B., Ramabhadran, B. “Deep neural network language models,” Proc. HTL-NAACL Workshop, 2012. Aslan, O., Cheng, H., Schuurmans, D., and Zhang, X. “Convex two-layer modeling,” Proc. NIPS, 2013. Ba, J. and Frey, B. “Adaptive dropout for training deep neural networks,” Proc. NIPS, 2013. Baker/Minimization of Graphical Model /

##### Prof.Dr. Aydın Öztürk

Edition ▪ Hearn and BakerComputer Graphics Using OpenGL, 3rd edition/2005, F.S.Hill, Jr. Prentice Hall  OpenGL Programming Guide, Version 2, 5th edition, D. Shreiner,M.Woo, J.Neider, T.Davis, Addison-Wesley, 2005, ISBN: 0321335732 Computer graphics: generating 2D images of a 3D world represented in a computer. Main tasks:  modeling: creating and representing the geometry of objects in the 3D world  rendering: generating 2D images of the/

##### 11. Visual Programming. © O. Nierstrasz PS — eToys 11.2 Roadmap  Terminology  A Quick Tour  A Taxonomy of Taxonomies  EToys (demo and evaluation)

.1109/MS.1987.229792  Burnett and Baker, “A Classification System for Visual Programming Languages,” Journal of Visual Languages and Computing, 1994. —ftp://ftp.cs.orst.edu/construct 2D graphics. NB: not a VPL © O. Nierstrasz PS — eToys 11.8 Programming by Example Pygmalion was an early system to let programmers interactively “demonstrate” how to compute a /. You must attribute the work in the manner specified by the author or licensor. Share Alike. If you alter, transform, or build upon this work,/

##### 12. Visual Programming. © O. Nierstrasz PL — Visual Programming 11.2 Roadmap  Terminology  A Quick Tour  A Taxonomy of Taxonomies  EToys (demo and.

MS.1987.229792  Burnett and Baker, “A Classification System for Visual Programming Languages,” Journal of Visual Languages and Computing, 1994. —ftp://ftp.cs/2D graphics. NB: not a VPL © O. Nierstrasz PL — Visual Programming 11.8 Programming by Example Pygmalion was an early system to let programmers interactively “demonstrate” how to compute/in the manner specified by the author or licensor (but not in any way that suggests that they endorse you or your use of the work). Share Alike. If you alter, transform/

##### ACC Austin 2014 CLE/Golf/Spa Event May 9, 2014. 2 Michael DePonte, Shareholder and Litigation Manager – Austin, Jackson Lewis P.C. Who is the Client?

computer to implement an abstract idea versus those that use a computer/ YOU! 122 Nick Schuneman, Senior Associate Baker Botts LLP Troll Update: Can These /2d 123 (Tex. 1996). 173 Wash your hands before you eat. Conflicts arising from joint defense agreements Federal Circuit: AMD and Nintendo were parties to a Joint Defense Agreement ("JDA"), which provided: "Nothing contained in this Agreement has the effect of transforming/, or represented by, [the attorney in question]." In re Shared Memory Graphics, 659 F./

##### Introduction to Image Processing (Signal Processing) NEU 259 Gina Sosinsky May 13, 2012.

. The 3d structure is reconstructed from several independent 2d views by the inverse Fourier transform of the complete 3d Fourier transform. Radon and X-ray transforms Illustration of Projection Theorem Baumeister et al. (1999) Trends Cell Biol., 9, 81-85. Projections Central Sections The Convolution Theorem The convolution theorem is one of the most important relationships in Fourier theory It forms the basis of X-ray/

##### National Science Foundation Directions Jim Kasdorf Director, Special Projects Pittsburgh Supercomputing Center Höchstleistungsrechenzentrum Stuttgart October.

Carnegie (MPC) Corporation for support of proposal entitled, Transforming Science through Productive Petascale Computing. October 5, 2005 11 Track 2C Silicon Graphics Declares Bankruptcy and Sells Itself for \$25 Million by Erik Schonfeld on April 1, 2009 Sadly, this is no April Fool’s joke. Silicon Graphics, the high-end computer computer workstation and server company founded by Jim Clark in 1982, today declared bankruptcy and sold itself to/

##### ©Zachary Wartell, UNCC9/28/2006 11:30 AM 1 Overview of OpenGL Revision: 1.2 Copyright Professor Zachary Wartell, University of North Carolina All Rights.

Operations vertices are transformed by 4x4 matrices (model&view, projection) in preparation for primitive assembly texture coordinates can be directly specified or generated and also transformed lighting calculations are also performed with transformed vertex and normals/30 AM 16 Why glBegin/glEnd? ● allow maximum possible parallelism in host CPU and Graphics Processor glBegin (PrimitiveConstant); compute x1,y1,z1 coordinate glVertex3f (x1,y1,z1) compute x2,y2,z2 coordinate glVertex3f (x2,y2,z2) …. glEnd();/

##### Data mining https://store.theartofservice.com/the-data-mining-toolkit.html.

in general speak) https://store.theartofservice.com/the-data-mining-toolkit.html Oracle Data Mining - Graphical user interface: Oracle Data Miner 1 There is also an independent interface: the Spreadsheet Add-In/in computational models of social systems, social network analysis emerged in the 1970s and 1980s from advances in graph theory, statistics, and studies of social structure as a distinct analytical method and was articulated and employed by/ transform load|ETL (Extract-Transform-/Baker /2D corners in/

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