'Kernel density estimation' diaporamas de présentation

High-dimensional integration without Markov chains

High-dimensional integration without Markov chains. Alexander Gray Carnegie Mellon University School of Computer Science. High-dimensional integration by:. Nonparametric statistics Computational geometry Computational physics Monte Carlo methods Machine learning .

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NATIONAL ANTHEM

1.05k views • 85 slides

Grouping and Segmentation

03/12/12. Grouping and Segmentation. Computer Vision CS 543 / ECE 549 University of Illinois Derek Hoiem. Announcements. HW 3: due today Graded by Tues after spring break HW 4: out soon Mean-shift segmentation EM problem for dealing with bad annotators Graph cuts segmentation.

737 views • 59 slides

Advancing Statistical Analysis of Multiplexed MS/MS Quantitative Data with Scaffold Q+

Advancing Statistical Analysis of Multiplexed MS/MS Quantitative Data with Scaffold Q+. Brian C. Searle and Mark Turner Proteome Software Inc. Vancouver Canada, ASMS 2012. Creative Commons Attribution. Reference. 114. 115. 116. 117. Ref. Ref. 114. 114. 115. 115. 116. 116. 117.

633 views • 54 slides

Data Classification

Data Classification. Rong Jin. Classification Problems. Given input: Predict the output (class label) Binary classification: Multi-class classification: Learn a classification function: Regression: . Examples of Classification Problem. Text categorization:. Politics Sport.

866 views • 49 slides

CHAPTER 16 SPATIAL INTERPOLATION 16.1 Elements of Spatial Interpolation 16.1.1 Control Points

CHAPTER 16 SPATIAL INTERPOLATION 16.1 Elements of Spatial Interpolation 16.1.1 Control Points 16.1.2 Type of Spatial Interpolation 16.2 Global Methods 16.2.1 Trend Surface Models Box 16.1 A Worked Example of Trend Surface Analysis 16.2.2 Regression Models 16.3 Local Methods

881 views • 45 slides

An Ontology-Based Traffic Accident Risk Mapping Framework

An Ontology-Based Traffic Accident Risk Mapping Framework. Jing Wang and Xin Wang Intelligent Geospatial Data Mining Group Department of Geomatics Engineering University of Calgary, Canada Aug 24, 2011. Outline. Overview of Road Accident Problem.

888 views • 36 slides

Lecture 3 Nonparametric density estimation and classification

Lecture 3 Nonparametric density estimation and classification. Density estimation Histogram The box kernel -- Parzen window K-nearest neighbor. Density estimation. Classification can be based on estimating the density for each of the classes. From a set of observed random vectors,

325 views • 32 slides

Quantitative Methods for Forensic Footwear Analysis

Quantitative Methods for Forensic Footwear Analysis. Presented by: Martin Herman Other Team Members: Gunay Dogan, Eve Fleisig, Janelle Henrich, Sarah Hood, Hari I yer, Yooyoung Lee, Steven Lund, Gautham Venkatasubramanian Information Technology Laboratory, NIST January 25, 2018.

448 views • 30 slides

Effective measurement selection in truncated Kernel density estimator

Effective measurement selection in truncated Kernel density estimator. Yoon, Ji Won School of Computer Science and Statistics, Trinity College Dublin [working with Hyoung-joo Lee (Oxford, UK) and Hyoungshick Kim (Cambridge, UK)] ICUIMC , 23, Feb, 2011. Clustering. Clustering.

378 views • 26 slides

The Dijet Resonance Shape Study

The Dijet Resonance Shape Study. --Texas Tech University-- Chiyoung Jeong* Sungwon Lee Igor Volobouev -- FNAL-- Robert Harris --Cukurova University-- Sertac Ozturk. Outline. Dijet resonance shapes for qq, qg, gg. Affect of Initial State Radiation (ISR)

359 views • 25 slides

AutomaDeD: Automata-Based Debugging for Dissimilar Parallel Tasks

40th IEEE/IFIP International Conference on Dependable Systems and Networks. AutomaDeD: Automata-Based Debugging for Dissimilar Parallel Tasks. Ignacio Laguna , Saurabh Bagchi. Greg Bronevetsky , Bronis R. de Supinski, Dong H. Ahn, Martin Schulz. Jun 30 th , 2010.

349 views • 24 slides

Scaling Multivariate Statistics to Massive Data Algorithmic problems and approaches

Scaling Multivariate Statistics to Massive Data Algorithmic problems and approaches. Alexander Gray Georgia Institute of Technology www.fast-lab.org. Core methods of statistics / machine learning / mining.

408 views • 24 slides

Scaling Multivariate Statistics to Massive Data Algorithmic problems and approaches

Scaling Multivariate Statistics to Massive Data Algorithmic problems and approaches. Alexander Gray Georgia Institute of Technology www.fast-lab.org. Core methods of statistics / machine learning / mining.

243 views • 24 slides

Nonparametric density estimation or Smoothing the data

Nonparametric density estimation or Smoothing the data. Eric Feigelson Arcetri Observatory, April 2014. Why density estimation?.

372 views • 19 slides

DENCLUE 2.0: Fast Clustering based on Kernel Density Estimation

DENCLUE 2.0: Fast Clustering based on Kernel Density Estimation. Alexander Hinneburg Martin-Luther-University Halle-Wittenberg, Germany Hans-Henning Gabriel 101tec GmbH, Halle, Germany. Overview. Density-based clustering and DENCLUE 1.0 Hill climbing as EM-algorithm

778 views • 18 slides

DENCLUE 2.0: Fast Clustering based on Kernel Density Estimation

DENCLUE 2.0: Fast Clustering based on Kernel Density Estimation. Alexander Hinneburg Martin-Luther-University Halle-Wittenberg, Germany Hans-Henning Gabriel 101tec GmbH, Halle, Germany. Overview. Density-based clustering and DENCLUE 1.0 Hill climbing as EM-algorithm

245 views • 18 slides

Mean-Shift Algorithm and Its Application

Mean-Shift Algorithm and Its Application. Bohyung Han bhhan@cs.umd.edu. Introduction. Computer vision applications and density estimation Background subtraction Model representation Particle filter Any other statistical method Issues for density estimation How to represent density

819 views • 11 slides