Syntactic pattern recognition and applications

By O. Firschein. 1983

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Citations in the corpus

A review on automatic image annotation techniques (2012, methodology): “Structural techniques describe textures using a set of texture primitives (texon or texture elements) and their placement rules [83] [90] [91].”
Probabilistic finite-state machines - part I (2005, background): “It is not difficult to prove that the definition adopted in this paper is equivalent to the definition of stochastic regular grammar [9], [32].”
Low-complexity fuzzy relational clustering algorithms for Web mining (2001, methodology): “Finally, it is also interesting to note that Fu [15] suggested a technique very similar to the k medoid technique in the context of clustering string patterns generated by grammars in syntactic pattern recognition.”
50 Years of object recognition: Directions forward (2013, background): “The earliest stream is attributed to Fu [207] who applied stochastic web grammars and plex grammars to simple object recognition tasks.”
Composite Templates for Cloth Modeling and Sketching (2006, methodology): “Stochastic context free grammars (SCFG) were introduced to vision in (Fu, 1981)[1], and are equivalent to the Markov tree model.”
Generalized feature extraction for structural pattern recognition in time-series data (2001, background): “Structural pattern recognition [31][38][70], sometimes referred to as syntactic pattern recognition due to its origins in formal language theory, relies on syntactic grammars to discriminate among data from different groups based upon the morphological interrelationships (or interconnections) presen”
The Neural Network Pushdown Automaton: Architecture, Dynamics and Training (1997, background): “However, the general area of grammatical inference and language processing will not be covered; see for example [Angluin83, Fu82, Lang92, Miclet90] and more recently the proceedings of the workshops on grammatical inference [GI].”
The Neural Network Pushdown Automaton: Model, Stack and Learning Simulations (2017, background): “However, the general area of grammatical inference and language processing will not be covered; see for example [Angluin83, Fu82, Miclet90] and more recently the proceedings of the workshop on grammatical inference [Lucas93].”
Texture Analysis (1993, methodology): “Another approach to modeling texture by structural means is described by Fu [59].”
Unsupervised Learning (2018, unknown): “A fuzzy clustering solution minimizing the objective function in equation 7 can nonetheless be obtained following the heuristic algorithm of Reference 31 for a crisp version of the objective function in equation 7 (28).”
Designing Gabor filters for optimal texture separability (2000, methodology): “There are existing methods for string recognition that can be implemented for cluster analysis [16].”