14.4.5 Context and Structure for Classification

Chapter Contents (Back)
Context. 9805

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The use of context in pattern recognition,
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Viterbi Algorithm application. BibRef

Toussaint, G.T.,
Pattern Recognition and Geometrical Complexity,
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A Context Classifier,
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Bottoni, P., Mussio, P., Protti, M., Schettini, R.,
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Jeon, B.W.[Byeung-Woo], and Landgrebe, D.A.,
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Xia, L.,
A Method To Improve Classification With Shape Information,
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Sharma, K.M.S., Sarkar, A.,
Modified Contextual Classification Technique for Remote-Sensing Data,
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van Dyck, D., Garcia, J.B.,
Infotree: A New Generic Method for Supervised Pattern Recognition Based on a Contextual Tree,
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Earlier:
INFOTREE: A Contextual Tree Approach to Supervised Pattern Recognition,
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IEEE DOI 9710
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Flygare, A.M.,
A Comparison of Contextual Classification Methods Using Landsat TM,
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Solberg, A.H.S.[Anne H. Schistad],
Flexible nonlinear contextual classification,
PRL(25), No. 13, 1 October 2004, pp. 1501-1508.
Elsevier DOI 0410
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Earlier:
Nonlinear Contextual Classification: A Comparative Study,
SCIA01(O-Th3A). 0206
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Singh, R., Ortega, A.,
Reduced-Complexity Delayed-Decision Algorithm for Context-Based Image Processing Systems,
IP(16), No. 8, August 2007, pp. 1937-1945.
IEEE DOI 0709
Delay decisions until there is more data. BibRef

Chen, C.H.[Chi Hau], Ho, P.G.P.[Pei-Gee Peter],
Statistical pattern recognition in remote sensing,
PR(41), No. 9, September 2008, pp. 2731-2741.
Elsevier DOI 0806
Remote sensing; Statistical pattern classification; Contextual information; Neural networks; Support vector machine; Vector 2-D autoregressive time series; Markov random field BibRef

Gatta, C.[Carlo], Puertas, E.[Eloi], Pujol, O.[Oriol],
Multi-scale stacked sequential learning,
PR(44), No. 10-11, October-November 2011, pp. 2414-2426.
Elsevier DOI 1101
Stacked sequential learning; Multiscale; Multiresolution; Contextual classification BibRef

Puertas, E.[Eloi],
Generalized Stacked Sequential Learning,
ELCVIA(14), No. 3, 2015, pp. xx-yy.
DOI Link 1601
Thesis summary. BibRef


Yuan, J.S.[Jun-Song], Wu, Y.[Ying],
Context-aware clustering,
CVPR08(1-8).
IEEE DOI 0806
See also Mining Compositional Features From GPS and Visual Cues for Event Recognition in Photo Collections. BibRef

Nam, M.Y.[Mi Young], Sedai, S.[Suman], Rhee, P.K.[Phill Kyu],
Cascade of Fusion for Adaptive Classifier Combination Using Context-Awareness,
AMDO06(252-261).
Springer DOI 0607
BibRef

Iwayama, N., Akiyama, K., Ishigaki, K.,
Hybrid adaptation: integration of adaptive classification with adaptive context processing,
FHR02(169-174).
IEEE Top Reference. 0209
BibRef

Li, J.[Jia], Gray, R.M.,
Context based multiscale classification of images,
ICIP98(III: 566-570).
IEEE DOI 9810
BibRef

Chapter on Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms continues in
Learning in Computer Vision .


Last update:Aug 20, 2019 at 20:38:45