Hybrid Pattern Recognition Using Markov Networks
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Constrained Approach to Multifont Chinese Character Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
The Application of Semantic Classification Trees to Natural Language Understanding
IEEE Transactions on Pattern Analysis and Machine Intelligence
Action Recognition Using Probabilistic Parsing
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Towards graph containment search and indexing
VLDB '07 Proceedings of the 33rd international conference on Very large data bases
VLDB '07 Proceedings of the 33rd international conference on Very large data bases
Semantic image interpretation of gamma ray profiles in petroleum exploration
Expert Systems with Applications: An International Journal
An algorithm for the dynamic inference of hidden Markov models (DIHMM)
ICASSP'93 Proceedings of the 1993 IEEE international conference on Acoustics, speech, and signal processing: speech processing - Volume II
Structural inference of sensor-based measurements
SSPR'06/SPR'06 Proceedings of the 2006 joint IAPR international conference on Structural, Syntactic, and Statistical Pattern Recognition
Towards the unification of structural and statistical pattern recognition
Pattern Recognition Letters
Failure detection processes by an expert system and hybrid pattern recognition
Pattern Recognition Letters
A spectral-multiplicity-tolerant approach to robust graph matching
Pattern Recognition
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The problem of pattern recognition is discussed in terms of single-entity representation versus multiple-entity representation. A combined syntactic-semantic approach based on attributed grammars is suggested. Syntax-semantics tradeoff in pattern representation is demonstrated. This approach is intended to be an initial step toward unification of syntactic and statistical approaches to pattern recognition.