Result 1 to 20 of 965 total
Fuzzy multilevel graph embedding. (English)
Pattern Recognition 46, No. 2, 551-565 (2013).
1
The fundamental theory of optimal “anti-Bayesian” parametric pattern classification using order statistics criteria. (English)
Pattern Recognition 46, No. 1, 376-388 (2013).
2
Pattern classification of dermoscopy images: a perceptually uniform model. (English)
Pattern Recognition 46, No. 1, 86-97 (2013).
3
An approach for automatic sleep stage scoring and apnea-hypopnea detection. (English)
Front. Comput. Sci. 6, No. 2, 230-241 (2012).
4
Performance evaluation of three pattern classification techniques used for water quality monitoring. (English)
Int. J. Comput. Intell. Appl. 11, No. 2, 1250013,14p. (2012).
5
A multiclassifier approach for drill wear prediction. (English)
Perner, Petra (ed.), Machine learning and data mining in pattern recognition. 8th international conference, MLDM 2012, Berlin, Germany, July 13‒20, 2012. Proceedings. Berlin: Springer (ISBN 978-3-642-31536-7/pbk). Lecture Notes in Computer Science 7376. Lecture Notes in Artificial Intelligence, 617-630 (2012).
6
A balanced neural tree for pattern classification. (English)
Neural Netw. 27, 81-90 (2012).
7
Constrained large margin local projection algorithms and extensions for multimodal dimensionality reduction. (English)
Pattern Recognition 45, No. 12, 4466-4493 (2012).
8
Orthogonal discriminant vector for face recognition across pose. (English)
Pattern Recognition 45, No. 12, 4069-4079 (2012).
9
Combining diverse one-class classifiers. (English)
Corchado, Emilio (ed.) et al., Hybrid artificial intelligent systems. 7th international conference, HAIS 2012, Salamanca, Spain, March 28‒30, 2012. Proceedings, Part II. Berlin: Springer (ISBN 978-3-642-28930-9/pbk). Lecture Notes in Computer Science 7209. Lecture Notes in Artificial Intelligence, 590-601 (2012).
10
Relational pattern updating. (English)
Inf. Sci. 189, 208-218 (2012).
11
Feature selection for MAUC-oriented classification systems. (English)
Neurocomputing 89, 39-54 (2012).
12
Surface classification for road distress detection system enhancement. (English)
Moreno-Díaz, Roberto (ed.) et al., Computer aided systems theory ‒ EUROCAST 2011. 13th international conference, Las Palmas de Gran Canaria, Spain, February 6‒11, 2011. Revised selected papers, Part I. Berlin: Springer (ISBN 978-3-642-27548-7/pbk). Lecture Notes in Computer Science 6927, 600-607 (2012).
13
Towards adaptive classification of motor imagery EEG using biomimetic pattern recognition. (English)
Huang, De-Shuang (ed.) et al., Advanced intelligent computing theories and applications. With aspects of artificial intelligence. 7th international conference, ICIC 2011, Zhengzhou, China, August 11‒14, 2011. Revised selected papers. Berlin: Springer (ISBN 978-3-642-25943-2/pbk). Lecture Notes in Computer Science 6839. Lecture Notes in Artificial Intelligence, 455-460 (2012).
14
On minimum distribution discrepancy support vector machine for domain adaptation. (English)
Pattern Recognition 45, No. 11, 3962-3984 (2012).
15
Graph embedding in vector spaces by node attribute statistics. (English)
Pattern Recognition 45, No. 9, 3072-3083 (2012).
16
Least squares recursive projection twin support vector machine for classification. (English)
Pattern Recognition 45, No. 6, 2299-2307 (2012).
17
Model sparsity and brain pattern interpretation of classification models in neuroimaging. (English)
Pattern Recognition 45, No. 6, 2085-2100 (2012).
18
Classification-based de-mosaicing for digital cameras. (English)
Neurocomputing 83, 222-228 (2012).
19
On using permutation tests to estimate the classification significance of functional magnetic resonance imaging data. (English)
Neurocomputing 82, 224-233 (2012).
20
Result 1 to 20 of 965 total
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