Home
Welcome

Welcome to the webpage of the Adaptive Information Processing Group. The group focuses on information processing schemes that adapts to the environment and situation, changing the algorithms and/or the models adaptively. Humans and all living beings have wonderful abilities to solve various problems by trial and error, sometimes spending generations, by using a very limited information processing resource. The main research field of this group is to solve real-world problems, by methods based on learning, optimization and signal processing, devising new algorithms for pattern recognition, signal/image processing and retrieval; the scheme we call the Adaptive Information Processing.
 
Call for graduation research members (College of Information Science & College of Int'l Studies)

Open laboratory :

  • 15:15 - , Wednesday December 14 (Lab. introduction with presentations)
  • 15:15 - , Wednesday January 11 (Lab. introduction with presentations)

Place : 3E102 (left entrance)
Visits welcomed at any time. Please contact us.

Advisor:

Keisuke KAMEYAMA (Associate Professor, Dept. CS, Grad. Sch. SIE) ( This e-mail address is being protected from spambots. You need JavaScript enabled to view it )

Research fields :
Environment-adapting systems and learning

Basic fields :
Basic theories of pattern recognition and learning, Inverse problems, Neural networks, Algorithms and mechanisms for adaptation

Application fields :
Recognition, classification, retrieval and reconstruction of image, video and audio.

Related lectures ：

(COINS) Basic signal processing, 3rd-year labs (T-1:Reconstruction of degraded images), etc.

(Col. of Int'l Studies)　Applied Mathematics, Data Structure and Algorithms, etc.

Comment :
Come to study and implement adaptive information processing abilities found in humans and nature !. All students with fresh ideas and enthusiasm are welcomed.
Read more...
 
Research Topics

Basic

  1. Neural networks and statistical pattern recognition
  2. Particle swarm optimization (PSO)
  3. Signal and image processing

Applications

  1. Content-based retrieval of multimedia
  2. Biometric authentication
  3. Image reconstruction and encoding
  4. e-Learning

 

Attachments:
Download this file (adapt-2010.pdf)adapt-2010.pdf[Page from the department pamphlet (in Japanese)]