'Change point' presentation slideshows

Improved Bayesian segmentation with a novel application in genome biology

608 views • 50 slides

Quickest Detection and Its Allications

Zhu Han Department of Electrical and Computer Engineering University of Houston, Houston, TX, USA. Quickest Detection and Its Allications. Outline. Introduction Basics Markov stopping time Quickest Detection Sequential detection Bayesian detection CUSUM test Applications

692 views • 47 slides

The late 1980s climate regime shift during boreal winter

The late 1980s climate regime shift during boreal winter. Speaker : Tzu-Ting Lo Department of Atmospheric Sciences National Taiwan University. 1976. What is regime shift?. 10-15 years. Mantua (1997). 10-15 years. 1976/77 regime shift. Motivation. From IPCC AR4.

599 views • 44 slides

AdvAIR

AdvAIR. An Advanced Audio Information Retrieval System. Supervised by Prof. Michael R. Lyu Prepared by Alex Fok, Shirley Ng 2002 Fall. Outline . Introduction System Overview Applications Experiment Future Work Q&A. Introduction. Motivation.

485 views • 41 slides

Meta-Analysis of PSA Growth

Meta-Analysis of PSA Growth. Lurdes Y.T. Inoue, Ph.D. Ruth Etzioni, Ph.D. Elizabeth Slate, Ph.D. Christopher Morrel, Ph.D. OUTLINE. Background Description of Studies Change-Point Models Some Results Future Plans. BACKGROUND. Prostate Cancer. Prostate Cancer:

492 views • 39 slides

Sequential analysis: balancing the tradeoff between detection accuracy and detection delay

Sequential analysis: balancing the tradeoff between detection accuracy and detection delay. XuanLong Nguyen xuanlong@eecs.berkeley.edu Radlab, 11/06/06. Outline. Motivation in detection problems need to minimize detection delay time Brief intro to sequential analysis

529 views • 39 slides

Sequential analysis: balancing the tradeoff between detection accuracy and detection delay

Sequential analysis: balancing the tradeoff between detection accuracy and detection delay. XuanLong Nguyen xuanlong@eecs.berkeley.edu Radlab, 11/06/06. Outline. Motivation in detection problems need to minimize detection delay time Brief intro to sequential analysis

396 views • 39 slides

Applications of change point detection in Gravitational Wave Data Analysis

Applications of change point detection in Gravitational Wave Data Analysis. Soumya D. Mohanty AEI. Plan of the talk. Brief introduction to change point detection and its relevance to GW data analysis Contrast with prevalent methods Three applications in different areas.

494 views • 37 slides

Change-Point Detection Techniques for Piecewise Locally Stationary Time Series

Change-Point Detection Techniques for Piecewise Locally Stationary Time Series. Michael Last National Institute of Statistical Sciences Talk for Midyear Anomaly Detection Workshop 2/3/2006. Stationary Time Series.

518 views • 26 slides

Overview Goal today: RTF provisional approval of approach for pilot projects In brief:

Regional Technical Forum Recommissioning commercial retail facilities: A whole building approach to energy savings April 7th, 2009 Presented by: Jeremy Litow Jamie Anthony Mark Effinger. Recommissioning commercial retail facilities: A whole building approach to quantifying energy savings.

362 views • 26 slides

Overview Goal today: RTF provisional approval of approach for pilot projects In brief:

Regional Technical Forum Recommissioning commercial retail facilities: A whole building approach to energy savings April 7th, 2009 Presented by: Jeremy Litow Jamie Anthony Mark Effinger. Recommissioning commercial retail facilities: A whole building approach to quantifying energy savings.

343 views • 26 slides

Binary Search Trees Rick Mercer, Allison Obourn , Marty Stepp

Binary Search Trees Rick Mercer, Allison Obourn , Marty Stepp. Binary Search Trees. A Binary Search Tree (BST) data structure is a binary tree with an ordering property BSTs are used to maintain order and faster retrieval, insertion, and removal of individual elements

228 views • 22 slides

Regional Red River Project Update

Regional Red River Project Update. Brian Haggard and Thad Scott Arkansas Water Resources Center UA Division of Agriculture. Red River Basin Regional Project. Calculating frequency distributions in the Red River Basin. Haggard & Scott 2010.

262 views • 17 slides

Evaluating stressor response relationships

Evaluating stressor response relationships. Brian Haggard and Thad Scott Arkansas Water Resources Center UA Division of Agriculture. What is stressor response?. Biological response varies across a range of nutrient concentrations We can describe theses relationships using statistical tools.

312 views • 15 slides

Positioning your brand for the

232 views • 12 slides

Detector Noise Characterization with the Hilbert-Huang Transform

Detector Noise Characterization with the Hilbert-Huang Transform. Jordan Camp Alex Stroeer John Cannizzo Kenji Numata Robert Schofield LSC / Detchar Meeting Mar 20, 2007. Goddard Group Activities. Alex Stroeer new postdoc (12/07) Full time now on HHT analysis

307 views • 12 slides

267 views • 7 slides

2/17 data

Change Point Example. 2/17 data. 2/19 data.

77 views • 1 slides

World Academy of Science, Engineering and Technology 78 2011

World Academy of Science, Engineering and Technology 78 2011 Diagnosing the Cause and Its Timing of Changes in Multivariate Process Mean Vector from Quality Control Charts Using Artificial Neural Network Farzaneh Ahmadzadeh.

99 views • 1 slides

World Academy of Science, Engineering and Technology 78 2011

World Academy of Science, Engineering and Technology 78 2011 Diagnosing the Cause and Its Timing of Changes in Multivariate Process Mean Vector from Quality Control Charts Using Artificial Neural Network Farzaneh Ahmadzadeh.

108 views • 1 slides