Download Overview of Part II, CMSC5707 Advanced Topics in Artificial

yes no Was this document useful for you?
   Thank you for your participation!

* Your assessment is very important for improving the work of artificial intelligence, which forms the content of this project

Document related concepts
no text concepts found
Overview of Part I, CMSC5707
Advanced Topics in Artificial Intelligence
KH Wong (6 weeks)
• Audio signal processing
– Signals in time & frequency domains
– Audio feature extraction techniques
Time/Frequency domain
Linear predicted coding
Vector quantization
Cepstral coefficients
– Recognition Procedures
– Music pitch estimation
• Face detection
– Detection using a classification method :Adaboost
– Face detection example
using Adaboost
Overview of CMSC5707
A.I. techniques in this course
• Features from sound
• Vector quantization
– Can be used in many different applications
• Dynamic program
– Can be used for speech recognition and many applications
• Pitch extraction for music signal analysis
– Can be used for building music recommendation system,
music data base analysis
• Face detection
– AdaBoost– a classification technique, can be used in many
A.I. fields.
– Artificial Neural networks
Overview of CMSC5707
Course Outline (6 Weeks)
for Professor K.S. Leung
Introduction to Expert System
Introduction to Fuzzy Logic
Fuzzy Expert Systems & Shell
Inference Engine
Linguistic Approximation
Fuzzy Query (Databases)
Fuzzy Control
Introduction to Genetic algorithm