'Vector space' diaporamas de présentation

Shape Analysis and Retrieval

Shape Analysis and Retrieval. Statistical Shape Descriptors. Notes courtesy of Funk et al. , SIGGRAPH 2004. Outline: Shape Descriptors Statistical Shape Descriptors Singular Value Decomposition (SVD). Shape Matching.

992 views • 65 slides

Cellular COMMUNICATIONS

Cellular COMMUNICATIONS. DSP Intro. Signals: quantization and sampling. Signals are everywhere. Encode speech signal (audio compression) Transfer encode signals using RF signal (modulation) Detect antenna signal

704 views • 63 slides

Lecture 6 Eigenvalue and Vector Space

967 views • 55 slides

Quantum Computing

Quantum Computing. Lecture on Linear Algebra. Sources: Angela Antoniu , Bulitko, Rezania, Chuang, Nielsen . Goals:. Review circuit fundamentals Learn more formalisms and different notations. Cover necessary math more systematically Show all formal rules and equations.

704 views • 54 slides

Chapter 27 Introduction to Information Retrieval and Web Search

816 views • 50 slides

Linear Algebra

762 views • 50 slides

Signal Processing and Representation Theory

Signal Processing and Representation Theory. Lecture 1. Outline: Algebra Review Numbers Groups Vector Spaces Inner Product Spaces Orthogonal / Unitary Operators Representation Theory. Algebra Review. Numbers (Reals)

752 views • 49 slides

The Math Behind the Compact Disc

The Math Behind the Compact Disc. Linear Algebra and Error-Correcting Codes. william j. martin. mathematical sciences. wpi wednesday december 3. 2008 fairfield university. How the device works.

814 views • 33 slides

CS 391L: Machine Learning Text Categorization

CS 391L: Machine Learning Text Categorization. Raymond J. Mooney University of Texas at Austin. Text Categorization Applications. Web pages Recommending Yahoo-like classification Newsgroup/Blog Messages Recommending spam filtering Sentiment analysis for marketing News articles

529 views • 31 slides

493 views • 31 slides

Methods of Deriving Biometric ROC Curves from the k -NN Classifier

Methods of Deriving Biometric ROC Curves from the k -NN Classifier. Robert S. Zack May 8, 2010. Agenda. Introduction to ROC Curves Classification Multi-Class Issues and Solutions New Derivation Methods Weak and Strong System Training Use Cases

471 views • 26 slides

The Study of Off-momentum Particle Motion with Independent Component Analysis

Weiming Guo Accelerator Physics Group / ASD Advanced Photon Source. The Study of Off-momentum Particle Motion with Independent Component Analysis. Acknowledgements. Katherine Harkay Xiaobiao Huang Michael Borland Jack Albert Chunxi Wang Hairong Shang.

374 views • 25 slides

Information Geometry: Duality, Convexity, and Divergences

Information Geometry: Duality, Convexity, and Divergences. Jun Zhang* University of Michigan Ann Arbor, Michigan 48104 junz@umich.edu *Currently on leave to AFOSR under IPA. Clarify two senses of duality in information geometry:. Reference duality:

502 views • 24 slides

Learning the Appearance of Faces: A Unifying Approach for the Analysis and Synthesis of Images.

Learning the Appearance of Faces: A Unifying Approach for the Analysis and Synthesis of Images. Thomas Vetter. University of Freiburg. Germany. http://graphics.informatik.uni-freiburg.de. Computer Vision & Computer Graphics.

407 views • 23 slides

Linear Equation System

432 views • 21 slides

Wednesday, January 19, 2000 William H. Hsu Department of Computing and Information Sciences, KSU http://www.cis.ksu.edu/

Lecture 1. Review of Basics: Mathematical Foundations. Wednesday, January 19, 2000 William H. Hsu Department of Computing and Information Sciences, KSU http://www.cis.ksu.edu/~bhsu Readings: Appendix 1-4, Foley et al Slide Set 1, VanDam. Lecture Outline. Student Information

336 views • 18 slides

Improving Speech Recognition with SVM

212 views • 8 slides

4.5: The Dimension of a Vector Space

4.5: The Dimension of a Vector Space. Theorem 9 If a vector space V has a basis , then any set in V containing more than n vectors must be linearly dependent. Theorem 10

260 views • 8 slides

Vectors

Vectors. Two Operations. Many familiar sets have two operations. Sets: Z , R , 2 ? 2 real matrices M 2 ( R ) Addition and multiplication All are groups under addition. 0 is a problem for multiplication. Without 0 the sets are groups Multiplication is not commutative for M 2 ( R ).

219 views • 8 slides

Matematika Pertemuan 26

175 views • 7 slides