'Gaussian distributions' presentation slideshows

Speech Recognition

Speech Recognition. Pattern Classification. Pattern Classification. Introduction Parametric classifiers Semi-parametric classifiers Dimensionality reduction Significance testing. Classifier. Feature Extraction. Class ? i. Feature Vectors x. Observation s. Pattern Classification.

504 views • 50 slides

Probability, Gaussians and Estimation

Probability, Gaussians and Estimation. David Johnson. Basic Problem. Approaches so far Robot state is a point in state space q = ( x, y, vx, vy, heading ) This state based on measurements External (GPS, beacons, vision) Internal (odometry, gyros) Measurements not exact

415 views • 35 slides

Julian Chela-Flores The Abdus Salam ICTP, Trieste, Italia and

Evolution of the universe: From Astrophysics to Astrobiology. Exploring the Solar System - Missions and Techniques EGU 2008, Austria Center Vienna, Lecture Room 11; 15 April 2008: 9.15. Distinguishing between signatures of past life and nonlife. Julian Chela-Flores

451 views • 33 slides

Experimental Data Analysis

440 views • 22 slides

A Baseline System for Speaker Recognition

A Baseline System for Speaker Recognition. C. Mokbel, H. Greige, R. Zantout, H. Abi Akl A. Ghaoui, J. Chalhoub, R. Bayeh University Of Balamand - ELISA. Outline. Introduction Baseline speaker recognition system NIST 2002 evaluation Conclusion and perspective. Introduction.

345 views • 21 slides

Log-amplitude statistics of non-Gaussian fluctuations

THIC&APFA7. 1. Motivation ?? Characterization of intermittent fluctuations ?? Coarse-grained time series and its probability density function ?? Castaing's turbulence statistics and Beck and Cohen's superstatistics 2. Log-amplitude statistics

339 views • 16 slides

An Efficient Distance Calculation Method for Uncertain Objects

An Efficient Distance Calculation Method for Uncertain Objects. Edward Hung csehung@comp.polyu.edu.hk Hong Kong Polytechnic University 2007 CIDM, Hawaii, USA, Apr 1-5, 2007. Uncertain Objects: From Where?. Sources Sensors readings statistical classifiers in image processing

277 views • 16 slides

Gaussian Distributions of Signal and Noise with Equal Variances

Gaussian Distributions of Signal and Noise with Equal Variances. Chapter3. March 28, 2005. The ROC Curve for the Yes-No Task. ? Standard Normal distributions -> means = 0 , S.D. = 1 ? ??? ?? 1) Five Criterion 2) Normal Curve Table -each criterian associated with H and FA

305 views • 12 slides