THE ARTIFICIAL-INTELLIGENCE APPROACH TO PATTERN-RECOGNITION - A PERSPECTIVE AND AN OVERVIEW

被引：25

作者：

NANDHAKUMAR, N

AGGARWAL, JK

机构：

[1] Univ of Texas at Austin, Lab for, Image & Signal Analysis, Austin,, TX, USA, Univ of Texas at Austin, Lab for Image & Signal Analysis, Austin, TX, USA

来源：

PATTERN RECOGNITION | 1985年 / 18卷 / 06期

关键词：

We consider the case of a generic signal understanding system (SUS) and define it as one that extracts information that is 'meaningful' (in an informal sense) to humans. The extraction of information may involve a single level of analysis; e.g. detection via template matching; or a hierarchy of several levels; e.g. speech understanding. (~) At each level of analysis the signal is transformed by a mapping that 'preserves' and 'structures' information but reduces the space required to store it. This is analogous to the principle of simplicity * This research was supported in part by the Air Force Office of Scientific Research under contract F46920-85-K-0007;

D O I：

10.1016/0031-3203(85)90009-3

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

引用

页码：383 / 389

页数：7

共 44 条

[1] PARAMETER NETS [J].

BALLARD, DH .

ARTIFICIAL INTELLIGENCE, 1984, 22 (03) :235-267

[2]

BALLARD DH, 1978, COMPUTER VISION SYST

[3]

Binford T. O., 1982, INT J ROBOT RES, V1, P18

[4]

BIRMAN KP, 1982, IEEE T PATTERN ANAL, V4

[5]

Bobrow D. G., 1977, COGNITIVE SCI, V1, P3, DOI DOI 10.1207/S15516709C0G0101_

[6] SYMBOLIC REASONING AMONG 3-D MODELS AND 2-D IMAGES [J].

BROOKS, RA .

ARTIFICIAL INTELLIGENCE, 1981, 17 (1-3) :285-348

[7]

BUNKE H, 1983, IMAGE SEQUENCE PROCE

[8]

Duda R. O., 1973, PATTERN CLASSIFICATI

[9]

ERMAN LD, 1980, COMPUT SURV, V12, P213, DOI 10.1145/356810.356816

[10] CONNECTIONIST MODELS AND THEIR PROPERTIES [J].

FELDMAN, JA ;

BALLARD, DH .

COGNITIVE SCIENCE, 1982, 6 (03) :205-254

← 1 2 3 4 5 →