Kami ingin mengundang Bapak/Ibu dan kolega-kolega Bapak/Ibu untuk
menulis dalam Jurnal Ilmiah Kaunia. Jurnal Ilmiah Kaunia adalah jurnal ilmiah yang diterbitkan oleh Fakultas Sains dan Teknologi Universitas Islam Negeri Sunan Kalijaga  sejak April 2005.

Jurnal Ilmiah Kaunia, terbit dua kali setahun pada bulan April dan Oktober, memuat naskah hasil pemikiran dan hasil penelitian dalam lingkup Sains dan Teknologi. Karya ilmiah dapat ditulis dalam bahasa Indonesia maupun bahasaInggris, dengan abstrak dalam bahasa Inggris
Batas waktu penerimaan naskah untuk penerbitan pada bulan April  2012  adalah  pada tanggal 31Mei 2012.
Pedoman penulisan bagi Calon Penulis Kaunia [doc]

Email : shofwatul.uyun@uin-suka.ac.id; shofwa_uyun@yahoo.com; shofwa.uyun@gmail.com

Office: the second floor of saintek building
Office Hours: Tuesday 10:30-12:00 am, Thursday 1-2 pm, or by appointment

Website : shofwatuluyun.com
Staff Mailing List: dosentif-uinsuka@yahoogroups.com
Thursday (09-11:50 am) Location : 409;

Prerequisites : artificial Intelligence

Grading and grading policy

The final grade will be based on :

• Midterm exam  (25%)
• Final exam (25%).
• Project/Group assignments (15%)
• Paper presentation (15%)
• Final Project (20%)

References :

1. Duda, Richard O., Peter E. Hart, and David G. Stork. Pattern classification. 2nd ed. New York, NY: Wiley, 2001. ISBN: 0471056693.
2. Mallot, Hanspeter A. Computational Vision: Information Processing in Perception and Visual Behavior. Translated by John S. Allen. Cambridge, MA: MIT Press, 2000. ISBN: 0262133814.
3. Forsyth, David A., and Jean Ponce. Computer Vision: a Modern Approach. Upper Saddle River, NJ: Prentice Hall, 2003. ISBN: 0130851981.
4. Hastie, Trevor, Robert Tibshirani, and Jerome Friedman. The Elements of Statistical Learning: Data Mining, Inference, and Prediction: with 200 full-color illustrations. New York, NY: Springer, c2001. ISBN: 0387952845.

Topics :

1. Overview of problems of machine vision and pattern classification
2. Image formation and processing
3. Feature extraction from images
4. Biological object recognition
5. Bayesian Decision Theory
6. Clustering
7. Classification

Materials of pattern recognition :

1. Overview [pdf]
2. Feature Extraction [pdf]
3. Classification Method (Supervised) [pdf]
4. Learning Vector Quantification [winzip]
5. Support vector Machine-1 [winzip]
6. Support vector Machine-2 [winzip]
7. Fuzzy C-Means Clustering [pdf]
8. Example of Fuzzy C-Means Clustering [pdf]
9. Substractive Clustering [pdf]
10. Example  of Substractive Clustering [pdf]