'Eigen vectors' presentation slideshows

Eigen Representations: Detecting faces in images

Eigen Representations: Detecting faces in images. Class 6. 15 Sep 2011 Instructor: Bhiksha Raj. Administrivia. Project teams? Project proposals? TAs have updated timings and locations (on webpage). Last Lecture: Representing Audio. Basic DFT Computing a Spectrogram

1.71k views • 158 slides

Eigen Representations: Detecting faces in images

Eigen Representations: Detecting faces in images. Class 6. 15 Sep 2011 Instructor: Bhiksha Raj. Administrivia. Project teams? Project proposals? TAs have updated timings and locations (on webpage). Last Lecture: Representing Audio. Basic DFT Computing a Spectrogram

1.43k views • 132 slides

What is page importance?

What is page importance?. Page importance is hard to define unilaterally such that it satisfies everyone. There are however some desiderata: It should be sensitive to The query Or at least the topic of the query.. The user Or at least the user population The link structure of the web

1.09k views • 90 slides

Gary Bradski, Intel, Stanford CAs: Dan Maynes-Aminzade, Mitul Saha, Greg Corrado

761 views • 61 slides

Scheduling and Guided Search for Cloud Applications

493 views • 49 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

Distributed Probabilistic Model-Building Genetic Algorithm

Distributed Probabilistic Model-Building Genetic Algorithm. Tomoyuki Hiroyasu Mitsunori Miki Masaki Sano Hisashi Shimosaka Shigeyoshi Tsutsui Jack Dongarra. (Doshisha University) (Doshisha University) (Doshisha University) (Doshisha University) (Hannan University)

783 views • 41 slides

Multivariate Transformation

Multivariate Transformation. Multivariate Transformations. Started in statistics of psychology and sociology. Also called multivariate analyses and multivariate statistics. Have been used by biological scientists since Fisher 1921. Different from all other forms of statistics.

366 views • 36 slides

Math 307 Spring, 2003 Hentzel Time: 1:10-2:00 MWF Room: 1324 Howe Hall

Math 307 Spring, 2003 Hentzel Time: 1:10-2:00 MWF Room: 1324 Howe Hall Instructor: Irvin Roy Hentzel Office 432 Carver Phone 515-294-8141 E-mail: hentzel@iastate.edu http://www.math.iastate.edu/hentzel/class.307.ICN Text: Linear Algebra With Applications,

389 views • 28 slides

SVD methods applied to wire antennae

355 views • 27 slides

Visualization of High dimensional Datasets

Visualization of High dimensional Datasets. Jahangheer Shaik. Why do we need Visualization?. Data visualization techniques are often required to obtain meaningful insights by reducing the cognitive load to effectively convert the data into information and knowledge for subsequent applications. .

379 views • 25 slides

Computer Vision

Computer Vision. Mubarak Shah Computer Vision Lab University of Central Florida Orlando, FL 32816. Computer Vision. The ability of computers to see. Image Understanding Machine Vision Robot Vision Image Analysis Video Understanding. A picture is worth a thousand words.

609 views • 24 slides

580.691 Learning Theory Reza Shadmehr System identification via subspace analysis Further reading:

580.691 Learning Theory Reza Shadmehr System identification via subspace analysis Further reading: Peter van Overschee and Bart De Moor (1996) Subspace identification for linear systems: theory, implementation, applications. Kluwer Academic, The Netherlands, pp. 1-56.

377 views • 23 slides

Quantum II (PHYS 4410)

298 views • 16 slides

Independent Component Analysis features of Color & Stereo images

Independent Component Analysis features of Color & Stereo images. Authors: Patrik O. Hoyer Aapo Hyvarinen CIS 526: Neural Computation. Presented by: Ajay Kumar Yadav. Overview. Introduction Background Study Data Preprocessing Color Image Experiment Stereo Image Experiment

299 views • 15 slides

III. Multi-Dimensional Random Variables and Application in Vector Quantization

III. Multi-Dimensional Random Variables and Application in Vector Quantization. Scalar Quantization: Reminder. Assume some continuous random variable X represents the output of an analog source Quantization ? Y=q(X)

420 views • 13 slides

Preprocessing Images for Facial Recognition

Preprocessing Images for Facial Recognition. Adam Schreiner ECE533. Solution. Problem. Face recognition systems have problems recognizing differences in lighting, pose, facial expressions, and picture quality.

387 views • 9 slides

Work Overview

Work Overview. Mohammad Malli Planete Project, INRIA - Sophia Antipolis France. Motivation. Delay proximity does not satisfy the requirements of many applications. Scalable estimation of network distances. We propose a model for estimating scalably ABw and P.

163 views • 7 slides