'Dimensional vectors' presentation slideshows

Multimedia Indexing and Dimensionality Reduction

Multimedia Indexing and Dimensionality Reduction. Multimedia Data Management. The need to query and analyze vast amounts of multimedia data (i.e., images, sound tracks, video tracks) has increased in the recent years.

1.61k views • 125 slides

Force and Motion in Two Dimensions

1.42k views • 87 slides

Applications (1 of 2): Information Retrieval

Applications (1 of 2): Information Retrieval. Kenneth Church Kenneth.Church@jhu.edu. Pattern Recognition Problems in Computational Linguistics. Information Retrieval: Is this doc more like relevant docs or irrelevant docs? Author Identification:

951 views • 87 slides

Parallel Computation Architecture, Algorithm and Programming

Textbook Series for 21 st Century. Parallel Computation Architecture, Algorithm and Programming. Professor Guoliang Chen Dept. Of Comp. Sci. & Tech. Univ. Of Sci.&Tech. Of China. Chapter 1 Architecture models of parallel computer. Part I: Hardware basics for parallel computing.

1.05k views • 70 slides

Word Similarity

Word Similarity. David Kauchak CS457 Fall 2011. Admin. Assignment 3 grades sent back Quiz 2 Average 22.7 Assignment 4 Reading. Text Similarity. A common question in NLP is how similar are texts. ,. sim (. ) = ?. score:. ?. rank:. Bag of words representation.

846 views • 70 slides

Chapter 9

951 views • 69 slides

Vision Topics Seminar Mean Shift

Vision Topics Seminar Mean Shift. Egorov Svetlana Based on : D. Comaniciu, P. Meer: Mean Shift Analysis and Applications, IEEE Int. Conf. Computer Vision (ICCV'99), Kerkyra , Greece , 1197-1203, 1999. Presentation plan. Motivation and Goal

902 views • 57 slides

Dimensionality Reduction Techniques

Dimensionality Reduction Techniques. Dimitrios Gunopulos, UCR. Retrieval techniques for high-dimensional datasets. The retrieval problem: Given a set of objects S , and a query object S, find the objectss that are most similar to S. Applications:

662 views • 48 slides

Clustering Functional Data: Methods and Applications

Clustering Functional Data: Methods and Applications. Catherine Sugar University of Southern California sugar@usc.edu This is joint work with Gareth James of USC UCLA May 1st, 2006. Clustering and Functional Data.

919 views • 47 slides

Outline

3D Shape Histograms for Similarity Search and Classification in Spatial Databases. Mihael Ankerst,Gabi Kastenmuller, Hans-Peter-Kriegel,Thomas Seidl Univ of Munich, Germany. Outline. Introduction 3D Shape Similarity Model Quadratic Form Distance Functions Extensibility of Histogram Models

718 views • 44 slides

Image Filtering

Image Filtering. CS485/685 Computer Vision Prof. George Bebis. What is image filtering?. f(x,y). g(x,y). filtering. filtering. Image Filtering Methods. Spatial Domain Frequency Domain (i.e., uses Fourier Transform). Spatial Domain Methods. g(x,y). f(x,y). f(x,y). g(x,y).

728 views • 42 slides

Chapter 15 Complex Numbers

Chapter 15 Complex Numbers.

879 views • 34 slides

Tell us the first step you would do to comprehend the below passage?

Tell us the first step you would do to comprehend the below passage?.

441 views • 34 slides

University Physics: Mechanics

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The Side-Chain Positioning Problem

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Dimensionality Reduction

426 views • 24 slides

Capacity Upper Bounds for Deletion Channels

Capacity Upper Bounds for Deletion Channels. Suhas Diggavi Michael Mitzenmacher Henry Pfister. The Most Basic Channels. Binary erasure channel. Each bit is replaced by a ? with probability p . Binary symmetric channel. Each bit flipped with probability p . Binary deletion channel.

281 views • 18 slides

Latent Semantic Analysis (LSA)

Latent Semantic Analysis (LSA). Introduction to LSA. Learning Model Uses Singular Value Decomposition (SVD) to simulate human learning of word and passage meaning Represents word and passage meaning as high-dimensional vectors in the semantic space Its success depends on:

823 views • 14 slides

Physics of Rolling Ball Coasters

Physics of Rolling Ball Coasters. Cross Product Torque Inclined Plane Inclined Ramp Curved Path Examples. Cross Product (1). The Cross Product of two three-dimensional vectors a = <a 1 ,a 2 ,a 3 > and b = <b 1 ,b 2 ,b 3 > is defined as follows:

304 views • 12 slides

LECTURE 13: REESTIMATION, EM AND MIXTURES. Objectives: Reestimation Equations Continuous Distributions Gaussian Mixture Models EM Derivation of Reestimation

217 views • 9 slides