'Gaussians' diaporamas de présentation

Voxel-Based Morphometry with Unified Segmentation

Voxel-Based Morphometry with Unified Segmentation. Ged Ridgway University College London. Thanks to: John Ashburner and the FIL Methods Group. Preprocessing in SPM. Realignment With non-linear unwarping for EPI fMRI Slice-time correction Coregistration Normalisation Segmentation

1.16k views • 66 slides

From last time: PR Methods

From last time: PR Methods. Feature extraction + Pattern classification Training, testing, overfitting, overtraining Minimum distance methods Discriminant Functions Linear Nonlinear (e.g, quadratic, neural networks) -> Statistical Discriminant Functions. Statistical Pattern Recognition.

477 views • 37 slides

Context-Dependent Pre-trained Deep Neural Networks for Large Vocabulary Speech Recognition

Context-Dependent Pre-trained Deep Neural Networks for Large Vocabulary Speech Recognition. Dahl, Yu, Deng, and Acero Accepted in IEEE Trans. ASSP , 2010 . I. INTRODUCTION. Techniques in Automatic speech recognition (ASR) systems maximum mutual information (MMI) estimation,

783 views • 35 slides

Bayesian Machine Learning for Signal Processing

Bayesian Machine Learning for Signal Processing. Hagai T. Attias Golden Metallic, Inc. San Francisco, CA Tutorial 6th International Conference on Independent Component Analysis

840 views • 33 slides

Progress in Calculating the Potential Energy Surface of H 3 +

Progress in Calculating the Potential Energy Surface of H 3 + . Ludwik Adamowicz and Michele Pavanello , Department of Chemistry and Biochemistry. February 9th, 2012. UA SUPERCOMPUTERS Shared Memory - SGI Altix 4700

493 views • 26 slides

C. Beskidt , W. de Boer, D. Kazakov , F. Ratnikov

LHC and direct DM searches. C. Beskidt , W. de Boer, D. Kazakov , F. Ratnikov. Outline CMSSM Constraints: LHC, WMAP, XENON100, Electroweak, heavy flavour Fitting problems: highly correlated parameters -> multistep fitting technique

352 views • 25 slides

CMSC 471 Fall 2002

451 views • 23 slides

Approximating The Kullback-Leibler Divergence Between Gaussian Mixture Models

Approximating The Kullback-Leibler Divergence Between Gaussian Mixture Models. ICASSP 2007 John R. Hershey and Peder A. Olsen IBM T. J. Watson Research Center. Speaker: ??. Outline. Introduction Kullback-Leibler Divergence Methods Monte Carlo Sampling The Unscented Transformation

689 views • 23 slides

Sabah Jassim University of Buckingham, UK.

SecurePhone A Multi -M odal Biometric Verifier for constrained devices. Sabah Jassim University of Buckingham, UK. Outline. The SecurePhone project Fusion approaches to biometric-based Identification SecurePhone multi-Modal Biometric verifier PDA Implementation Constraints

351 views • 22 slides

A gentle introduction to Gaussian distribution

A gentle introduction to Gaussian distribution. X = 0. X = 1. X: Random variable. Review. Random variable Coin flip experiment. P(x). P(x) >= 0. 0. 1. x. Review. Probability mass function (discrete). Any other constraints? Hint: What is the sum?. Example: Coin flip experiment.

390 views • 21 slides

Color and Metallicity Distributions of M81 Globular Clusters

367 views • 21 slides

Timepix and TOT mode

448 views • 20 slides

Data Handling Software

484 views • 17 slides

Visual Attention

416 views • 16 slides

Gaussian Mixture Models

Gaussian Mixture Models. David Sears Music Information Retrieval October 8, 2009. Outline. Classifying (Musical) Data: The Audio Mess Statistical Principles Gaussian Mixture Models Maximum Likelihood Estimation: EM Algorithm Applications to Music Conclusions.

774 views • 10 slides