'Feature weighting' diaporamas de présentation

A Feature Weighting Method for Robust Speech Recognition

20 Aug 01 at CUHK. A Feature Weighting Method for Robust Speech Recognition. -- Speech Activities in CST. Thomas Fang Zheng Center of Speech Technology State Key Lab of Intelligent Technology and Systems Department of Computer Science & Technology Tsinghua University

600 views • 59 slides

Visual At t ention

Visual At t ention. Derek Hoiem March 14, 2007 Misc Reading Group. The Eye. 120 million rods (intensity) 7 million cones (color) Fovea: 2 degrees of cones. Saccades and Fixations. Scope: 2 deg (poor spatial res beyond this) Duration: 50-500 ms (mean 250 ms)

561 views • 47 slides

Visual At t ention

Visual At t ention. Derek Hoiem March 14, 2007 Misc Reading Group. The Eye. 120 million rods (intensity) 7 million cones (color) Fovea: 2 degrees of cones. Saccades and Fixations. Scope: 2 deg (poor spatial res beyond this) Duration: 50-500 ms (mean 250 ms)

472 views • 47 slides

Feature selection

Feature selection. LING 572 Fei Xia Week 4: 1/27/09. Creating attribute-value table. Choose features: Define feature templates Instantiate the feature templates Dimensionality reduction: feature selection Feature weighting The weight for f k : the whole column

833 views • 46 slides

Feature selection

Feature selection. LING 572 Fei Xia Week 4: 1/29/08. Creating attribute-value table. Choose features: Define feature templates Instantiate the feature templates Dimensionality reduction: feature selection Feature weighting The weight for f k : the whole column

688 views • 46 slides

Applications of Data Classification and Data Clustering in Content Management and Personalized Information Services

Applications of Data Classification and Data Clustering in Content Management and Personalized Information Services. Motivations. The quantity of digital information have been increasing at an astonishing rate.

530 views • 37 slides

Glasgow 02/02/04

483 views • 36 slides

Entity-Centric Document Filtering: Boosting Feature Mapping through Meta-Features

442 views • 31 slides

GAs and Feature Weighting

GAs and Feature Weighting. Rebecca Fiebrink MUMT 611 31 March 2005. Outline. Genetic algorithms History of GAs How GAs work Simple model Variations Feature selection and weighting Feature selection Feature weighting Using GAs for feature weighting Siedlecki and Sklansky Punch

463 views • 25 slides

Exploiting the Essential Assumptions of Analogy-based Effort Estimation

Exploiting the Essential Assumptions of Analogy-based Effort Estimation. Syed Shah A Zaman (6705130) Shakil Mahmud(7015384) Submitted to Professor Shervin Shirmohammadi in partial fulfillment of the requirements for the course ELG 5100. Roadmap. Effort estimation and its importance

353 views • 19 slides