Come to study and implement adaptive information processing abilities found in humans and nature!. All students with fresh ideas and enthusiasm are welcomed.

Open laboratory :

Tuesday Oct. 10 17:00-18:00 (Open Lab seminar follows from 18:15)
Monday Oct. 16 17:00-18:00 (Open Lab seminar follows from 18:15)
(New) Friday Oc.t 20, 14:00 - 15:00
Friday Oct. 27 17:00-18:00

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



(Professor, Faculty of Eng., Inf. & Sys.) (Keisuke.Kameyama *at*


Research fields :

Environment-adapting systems and learning

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

Recognition, classification, retrieval and reconstruction of images .

Lectures :

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

(Col. of Int'l Studies) Intro. to International Studies V, Mathematics I, Applied Mathematics, etc.

(Dept. of CS) Adaptive Media Processing, Data Analysis, etc.

Taizo SUZUKI   (visit the page of Media Signal Processing Research Group for more info)
(Assistant Professor, Faculty of Eng., Inf. & Sys.) (taizo *at*


Research fields :
Media signal processing - Image and video processing, source coding, filter banks, etc.

Lectures :

(COINS) 3rd-year labs (T-11:Image and video encoding)

(Col. of Int'l Studies) Intro. to Media Information Technology, Data Analysis, etc.

(Dept. CS) Advanced Course in Signal and Image Processing II, etc.


Seats :

COINS 4th year : 2 students. Col. of Int'l Studies 3rd or 4th year : ca. 2 students.

Research :

Development of novel information processing modalities with learning and adaptation. Application to recognition, classification, retrieval and reconstruction of signal and image.

  1. Pattern recognition, learning and adaptation (Kameyama)
    • Merging of boosting and neural network learning
    • Signal classification by Support Vector Machines using Higher-Order Statistical features
  2. Biometric authentication (Kameyama)
    • Iris recognition using local higher-order autocorrelation kernels
    • Improvement of person verification using novel speech features
  3. Image recognition, retrieval and processing (Kameyama)
    • Recognition using illumination-invariant color features
    • Content-Based Image Retrieval (CBIR)
  4. Source coding, image / video processing (Suzuki)
  5. Information hiding, encryption (Suzuki) 
  6. Basic technology in signal processing (Suzuki)

Lab seminar

Regular seminar : Progress reporting and discussion

Paper seminar : Introduction of recent papers of the field and disucussion

Student seminar : Basic training (math and programming)

Other lab events

  • Welcome and farewell parties (Apr. and March)
  • Sports day attendance (We were third place in soft-volleyball in spring 2015!)
  • Other informal meets

Recommended lectures and knowledge

From basic algebra, analysis, statistics to various application-oriented lecture courses in computational intelligence and media processing. Wide interest = new ideas!

Students and members (as of October 2017)

  • Graduate student (Dept. CS) : 6
  • Undergraduate student : 1
  • Research student : 1

Questions ?

Please contact us at
adapt *at*

Lab homepage