TY - JOUR
T1 - Learning pattern classification-A survey
AU - Kulkarni, Sanjeev R.
AU - Lugosi, Gabor
AU - Venkatesh, Santosh S.
N1 - Funding Information:
Manuscript received January 30, 1998; revised June 2, 1998. The work of S. R. Kulkarni work was supported in part by the National Science Foundation under NYI Grant IRI-9457645. The work of G. Lugosis was supported by DGES under Grant PB96-0300. The work of S. S. Venkatesh was supported in part by the Air Force Office of Scientific Research under Grants F49620-93-1-0120 and F49620-92-J-0344.
PY - 1998
Y1 - 1998
N2 - Classical and recent results in statistical pattern recognition and learning theory are reviewed in a two-class pattern classification setting. This basic model best illustrates intuition and analysis techniques while still containing the essential features and serving as a prototype for many applications. Topics discussed include nearest neighbor, kernel, and histogram methods, Vapnik-Chervonenkis theory, and neural networks. The presentation and the large (thogh nonexhaustive) list of references is geared to provide a useful overview of this field for both specialists and nonspecialists. Index Terms-Classification, learning, statistical pattern recognition, survey review.
AB - Classical and recent results in statistical pattern recognition and learning theory are reviewed in a two-class pattern classification setting. This basic model best illustrates intuition and analysis techniques while still containing the essential features and serving as a prototype for many applications. Topics discussed include nearest neighbor, kernel, and histogram methods, Vapnik-Chervonenkis theory, and neural networks. The presentation and the large (thogh nonexhaustive) list of references is geared to provide a useful overview of this field for both specialists and nonspecialists. Index Terms-Classification, learning, statistical pattern recognition, survey review.
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U2 - 10.1109/18.720536
DO - 10.1109/18.720536
M3 - Article
AN - SCOPUS:0032182920
SN - 0018-9448
VL - 44
SP - 2178
EP - 2206
JO - IEEE Transactions on Information Theory
JF - IEEE Transactions on Information Theory
IS - 6
ER -