'Computationally intensive' diaporamas de présentation

Multiple testing in large-scale gene expression experiments

Multiple testing in large-scale gene expression experiments. Statistics 246, Spring 2002 Week 8, Lecture 2. Outline. Motivation & examples Univariate hypothesis testing Multiple hypothesis testing Results for the two examples Discussion. Motivation.

719 views • 51 slides

Computational AstroStatistics Bob Nichol (Carnegie Mellon)

Computational AstroStatistics Bob Nichol (Carnegie Mellon). Motivation & Goals Multi-Resolutional KD-trees (examples) Npt functions (application) Mixture models (applications) Bayes network anomaly detection (application) Very high dimensional data NVO Problems. Collaborators.

493 views • 38 slides

3D Vision

3D Vision. CMPSCI 591A/691A CMPSCI 570/670. Topic 9 Stereo Vision (I). 2D to 3D Inference. Observations Objects are mostly 3D Images are 2D arrays of intensity, color values, etc. 3D depth information is not explicitly encoded in images (it is explicitly recorded in range images)

529 views • 36 slides

Hardware-accelerated regular expression matching for high-throughput text analytics

Hardware-accelerated regular expression matching for high-throughput text analytics. Author : Kubilay Atasu , Florian Doerfler , Jan van Lunteren , Christoph Hagleitner Publisher : 2013 FPL Presenter : Yuen- Shuo Li Date: 2013/10/30. Introduction.

471 views • 31 slides

399 views • 28 slides

Models FOR Financial Economic (MFE or 3/F)

Models FOR Financial Economic (MFE or 3/F). Review Sessions -Jasdeep Sidhu. About Me. I am senior, Math Major. Actuarial Exams: Exam P : Fall 2010 Exam FM : Fall 2010 Exam MFE : Spring 2011 Exam MLC : Fall 2011 Feel free to contact me if you have any questions: jss380@psu.edu.

424 views • 25 slides

Computer Graphics

Computer Graphics Coms 385 Fall 2003 Introduction Lecture 1 Wed, Aug 27, 2003 The Syllabus Syllabus.html Introduction What are the goals of computer graphics? Realism Information Art In this course, we will most often be concerned with realism. Introduction

873 views • 21 slides

EarthCube Transforming the Geosciences

EarthCube Transforming the Geosciences. UCGIS Symposium - George Mason U: May 23, 2013. A Joint Venture of the NSF Directorate of Geosciences and Office of Cyberinfrastructure. Big Questions, Big Problems!!. climate change. geohazards. l ife as a geologic agent . formation & evolution

288 views • 16 slides

Lab 3 : Exact tests and Measuring Genetic Variation

Lab 3 : Exact tests and Measuring Genetic Variation. ? 2 - test. Where, . Chi-square Assumptions : Finite # of observations. Observations are independent. Samples collected randomly. Large sample size (>20; >50) .

274 views • 16 slides

ACTIVE LEARNING USING CONFORMAL PREDICTORS: APPLICATION TO IMAGE CLASSIFICATION

Hyp Introduction Hyp Conceptual overview Hyp Experiments and results Hyp Conclusions. ACTIVE LEARNING USING CONFORMAL PREDICTORS: APPLICATION TO IMAGE CLASSIFICATION. L. Makili 1 , J. Vega 2 , S. Dormido-Canto 3 1 Universidade Katyavala Bwila . Benguela (Angola)

325 views • 16 slides

Complex Information Systems

Complex Information Systems. 20 September 2012. Robert J. Bonneau, Ph.D. AFOSR/RSL. Complex Networks and Systems. Goals: Preserve critical information structure and minimize latency over a heterogeneous distributed network and system

309 views • 15 slides

New Methods for Medical Imaging to Lower the Dose of Radiation

Nishat Hossain . New Methods for Medical Imaging to Lower the Dose of Radiation. Overview. What is a CT scan? Who uses CT scans? How can CT scans be dangerous? What is being developed in world of BME to deal with this?. What is a CT scan?. computed tomography or computed axial tomography

382 views • 13 slides

383 views • 13 slides

Efficiency and Productivity Measurement: Bootstrapping DEA Scores

Efficiency and Productivity Measurement: Bootstrapping DEA Scores. D.S. Prasada Rao School of Economics The University of Queensland, Australia. Measures of Reliability for DEA Scores.

342 views • 13 slides

Content-Based Image Retrieval

Content-Based Image Retrieval. Michele Saad Email: michele.saad@mail.utexas.edu EE-381K-14: Multi-Dimensional Digital Signal Processing March 06, 2008. Motivation. Exponential increase in computing power and electronic storage capacity

341 views • 12 slides

Content-Based Image Retrieval

Content-Based Image Retrieval. Michele Saad Email: michele.saad@mail.utexas.edu EE-381K-14: Multi-Dimensional Digital Signal Processing March 06, 2008. Motivation. Exponential increase in computing power and electronic storage capacity

312 views • 12 slides

EM Optimization using Coarse and Fine Mesh Space Mapping

EM Optimization using Coarse and Fine Mesh Space Mapping. Chao Zhang. Introduction. Space mapping is a recognized engineering optimization methodology in the microwave area. The coarse models : empirical functions , equivalent circuits computationally efficient low accuracy

356 views • 12 slides

WOOD 492 MODELLING FOR DECISION SUPPORT

WOOD 492 MODELLING FOR DECISION SUPPORT. Lecture 13 Duality Theory. The Dual Problem. Another way of looking at a linear program Has the same optimal value for the objective function as the primal model

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Wireless Communications Research at West Virginia University

294 views • 11 slides

Head Tracking and Virtual Reality

384 views • 9 slides