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±ºÁýÈ­ (Clustering)

±â°èÇнÀ (Machine Learning)

·Îº¿ (Robot)

¸Á¸·ÀÎ½Ä (Retina Recognition)

¹®ÀÚÀÎ½Ä (Character Recognition)

º£ÀÌÁî Á¤¸® (Bayes' Theorem)

ºÒÈ®½Ç¼º (Uncertainty)

»ç°í (Thinking)

»ý¸®ÇÐ (physiology)

»ýüÀÎ½Ä (Biometrics)

¼­¸íÀÎ½Ä (Signature Verification)

¼Õ¸ð¾çÀÎ½Ä (Hand Geometry)

¼öÄ¡Çؼ® (Numerical Analysis)

¼öÇÐ (Mathematics)

½Å°æ¸Á (Neural Network)

½É¸®ÇÐ (Psychology)

¾ó±¼ÀÎ½Ä (Face Recognition)

¿¹Ãø (Prediciton)

¿ìµµ (Likelihood)

À¯¿¬ÇÑ ÄÄÇ»Æà (Soft Computing)

À¯Àü¾Ë°í¸®Áò (Genetic Algorithm)

À½¼ºÀÎ½Ä (Speech Recognition)

ÀÌÇØ (Understanding)

±¤Çй®ÀÚÀÎ½Ä (Optical Character Recognition)   

ÇʱâüÀÎ½Ä (Handwriting Recognition)

ÀÎÁö (Cognition)

ÀÎÁö°úÇÐ (Cognitive Science)

ÀΰøÁö´É (Artificial Intelligence)

ÀÚ¿¬¾îó¸® (Natural Language Processing)

ÀÚÀ²ÇнÀ (Unsupervised Learning)

Á¤¸ÆÀÎ½Ä (Vein Recognition)

ÁöµµÇнÀ (Supervised Learning)

Áö¹®ÀÎ½Ä (Finger Print Recognition)

Áø´Ü (Diagnosis)

ÃÖ¼ÒÀڽ (Least Square)

Ãß·Ð (Reasoning)

Ä¿³Î (Kernel)

ÄÄÇ»ÅÍ (Computer)

Åë°è (Statistics)

ÆÐÅÏÀÎ½Ä (Pattern Recognition)

ÆÐÅϸÅĪ (Pattern Matching)

ÆÛÁö (Fuzzy)

ÇнÀ (Learning)

ȫäÀÎ½Ä (Iris Recognition)

È®·ü (Probability)

È÷½ºÅä±×·¥ (Histogram)

K-Æò±Õ ¾Ë°í¸®Áò (K-means Algorithm)

K-ÃÖ±Ù¸° ºÐ·ù (K-Nearest Neighbor Classification)

Naive Bayesian Classification

ÃÖ±Ù¸° ºÐ·ù (Nearest Neighbour Classification)

Non-parametric Decision Making

Parametric Decision Making : Statistical Decision Making

Pattern Matching

Support Vector Machine