ADABOOST ENSEMBLE WITH SIMPLE GENETIC ALGORITHM FOR STUDENT PREDICTION MODEL
Face Detection techniques
Work Portfolio
Basic Steps 1.Compute the x and y image derivatives 2.Classify each derivative as being caused by either shading or a reflectance change 3.Set derivatives.
Audiocaptcha
Human Action Recognition Based on Spacio-temporal features-Poster
Multiple Classifier Systems
boosting algorithm
Online Multiple Classifier Boosting for Object Tracking Tae-Kyun Kim 1 Thomas Woodley 1 Björn Stenger 2 Roberto Cipolla 1 1 Dept. of Engineering, University.
AN IMPROVED AUDIO Jenn Tam [email protected] Computer Science Dept. Carnegie Mellon University SOAPS 2008, Pittsburgh, PA.
1 Fast Asymmetric Learning for Cascade Face Detection Jiaxin Wu, and Charles Brubaker IEEE PAMI, 2008 Chun-Hao Chang 張峻豪 2009/12/01.
The Rate of Convergence of AdaBoost Indraneel Mukherjee Cynthia Rudin Rob Schapire.
