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PURDUE UNIV LAFAYETTE IND SCHOOL OF ELECTRICAL ENGINEERING (13)
Fu,K. S. (11)
Fu,K S (2)
Huang,T. (2)
PURDUE UNIV LAFAYETTE IN SCHOOL OF ELECTRICAL ENGINEERING (2)
Sargent,D. C. (2)
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Hits 1 – 15 of 15
1
Inference of High Dimensional Grammars.
Fu,K S
In: DTIC AND NTIS (1978)
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2
Error-Correcting Parsing for Syntactic Pattern Recognition
Lu, S Y
;
Fu, K S
In: DTIC AND NTIS (1977)
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3
Structure-Preserved Error-Correcting Tree Automata for Syntactic Pattern Recognition
Lu,S Y
;
Fu,K S
In: DTIC AND NTIS (1976)
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4
Computer Algorithms for the Extraction and Application of Stress Contours from Continuous Speech Sentences
Sargent,Douglas C.
;
Fu,K. S.
In: DTIC AND NTIS (1975)
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5
Transition Network Grammars for Syntactic Pattern Recognition.
Chou, S. M.
;
Fu, K. S.
In: DTIC AND NTIS (1975)
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6
Syllable Detection in Continuous Speech
Sargent,D. C.
;
Fu,K. S.
In: DTIC AND NTIS (1974)
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7
Syllable Detection in Continuous Speech
Sargent,D. C.
;
Li,K. P.
;
Fu,K. S.
In: DTIC AND NTIS (1973)
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8
On Speaker Identification using Coarticulation of Nasal Consonants with Vowels
Su,Lo-Soun
;
Fu,K. S.
In: DTIC AND NTIS (1973)
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9
Automatic Speaker Identification Using Nasal Spectra and Nasal Coarticulation as Acoustic Clues
Su,Lo-Soun
;
Fu,K. S.
In: DTIC AND NTIS (1973)
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10
Stochastic Syntactic Analysis and Syntactic Pattern Recognition
Huang,T.
;
Fu,K. S.
In: DTIC AND NTIS (1972)
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11
A Survey of Grammatical Inference
Fu,K. S.
In: DTIC AND NTIS (1972)
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12
On Syntactic Pattern Recognition and Stochastic Languages.
Fu,K. S.
In: DTIC AND NTIS (1971)
Abstract:
Some preliminary thoughts regarding the potential applications of stochastic languages to syntactic pattern recognition are discussed in this paper. Emphasis is on the description of noisy and/or distorted patterns and the learning of grammar (structural description) from the actual pattern samples. It is demonstrated by several very simple examples and sometimes with rather heuristic justifications that the use of probability information in syntactic pattern recognition would make the syntactic approach more flexible and attractive. It is expected that the use of probability information in syntactic analysis (recognition), though not discussed in this paper, would probably improve the efficiency and flexibility of the analysis procedure. (Author) ; Presented at the International Conference on Frontiers of Pattern Recognition (1st) Held at Honolulu, Hawaii in Jan 71.
Keyword:
(*PATTERN RECOGNITION
;
*STOCHASTIC LANGUAGES
;
*SYNTACTIC PATTERN RECOGNITION
;
AUTOMATA
;
Bionics
;
CONTEXT FREE GRAMMARS
;
DECISION THEORY
;
INFORMATION THEORY
;
LEARNING MACHINES
;
Linguistics
;
LINGUISTICS)
;
STOCHASTIC PROCESSES
;
SYNTAX
URL:
http://www.dtic.mil/docs/citations/AD0726625
http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=AD0726625
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13
ON STOCHASTIC CONTEXT-FREE LANGUAGES
Huang,T.
;
Fu,K. S.
In: DTIC AND NTIS (1970)
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14
Stochastic Automata, Stochastic Languages, and Pattern Recognition
Fu,K. S.
In: DTIC AND NTIS (1970)
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15
AUTOMATA GAMES, STOCHASTIC AUTOMATA AND FORMAL LANGUAGES
Li,T. J.
;
Fu,K. S.
In: DTIC AND NTIS (1969)
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