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- image
- recognition,
- object
- Bayesian
- classification,
- visual
- detection,
- vision,
- extraction,
- learning
- computer
- semantic
- analysis,
- network
- feature
- networks,
- context
- neural
- segmentation,
- retrieval,
- recognition
- intelligence),
- (artificial
- learning,
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- Yuhang Wang, Fillia Makedon, James Ford, Li Shen, and Dina Goldin. Digital Libraries, 2004. Proceedings of the 2004 Joint ACM/IEEE Conference on, page 202-211. (June 2004)Yuhang Wang, Fillia Makedon, James Ford, Li Shen, and Dina Goldin. Digital Libraries, 2004. Proceedings of the 2004 Joint ACM/IEEE Conference on, page 202-211. (June 2004)3 years and 8 months agoby mozaher2
- Neural-network-based segmentation of multi-modal medical images: a comparative and prospective studyM. Ozkan, B.M. Dawant, and R.J. Maciunas. Medical Imaging, IEEE Transactions on 12(3):534--544 (1993)M. Ozkan, B.M. Dawant, and R.J. Maciunas. Medical Imaging, IEEE Transactions on 12(3):534--544 (1993)3 years and 8 months agoby mozaher1
- NMR,
- X-ray
- adaptive
- artificial
- biomedical
- brain,
- classical
- classification,
- classifier,
- computer
- computerised
- diagnostic
- generalization
- human
- image
- images
- images,
- imaging,
- intensity
- interslice
- learning
- likelihood
- magnetic
- maximum
- medical
- multimodal
- nets,
- networks,
- neural
- parameters
- parameters,
- processing,
- properties,
- resonance
- scheme,
- segmentation,
- tomography,
- topological
- variations,
NMR, X-ray adaptive artificial biomedical brain, classical classification, classifier, computer computerised diagnostic generalization human image images images, imaging, intensity interslice learning likelihood magnetic maximum medical multimodal nets, networks, neural parameters parameters, processing, properties, resonance scheme, segmentation, tomography, topological variations, - R.E. Madsen, S. Sigurdsson, L.K. Hansen, and J. Larsen. Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference on (November 2005)R.E. Madsen, S. Sigurdsson, L.K. Hansen, and J. Larsen. Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference on (November 2005)3 years and 8 months agoby mozaher2
- (artificial
- Web,
- analysis
- analysis,
- bag-of-words
- based
- categorization,
- character
- classification,
- classifier,
- component
- context
- generalisation
- ill-posed
- independent
- indexing
- intelligence),
- language
- maps,
- nets,
- network
- neural
- principal
- probabilistic
- pruning
- recognition,
- representation,
- representations,
- semantic
- sensitivity
- text
- transformations,
- vocabulary
(artificial Web, analysis analysis, bag-of-words based categorization, character classification, classifier, component context generalisation ill-posed independent indexing intelligence), language maps, nets, network neural principal probabilistic pruning recognition, representation, representations, semantic sensitivity text transformations, vocabulary - F. Kummert, G.A. Fink, G. Sagerer, and E. Braun. Pattern Recognition, 1998. Proceedings. Fourteenth International Conference on, 2, page 1165--1170 vol.2. (1998)F. Kummert, G.A. Fink, G. Sagerer, and E. Braun. Pattern Recognition, 1998. Proceedings. Fourteenth International Conference on, 2, page 1165--1170 vol.2. (1998)3 years and 8 months agoby mozaher1
- A. Joshi, N. Ramakrishman, E.N. Houstis, and J.R. Rice. Neural Networks, IEEE Transactions on 8(1):18--31 (1997)A. Joshi, N. Ramakrishman, E.N. Houstis, and J.R. Rice. Neural Networks, IEEE Transactions on 8(1):18--31 (1997)3 years and 8 months agoby mozaher1
- (artificial
- adaptation,
- algorithm,
- analysis,
- classes,
- classification,
- clustering,
- fuzzy
- human
- intelligence),
- learning
- learning,
- machine
- method,
- min-max
- minimax
- multiresolution
- mutually
- nets,
- neural
- neuro-fuzzy
- neurobiological
- nonexclusive
- one-pass
- online
- pattern
- recognition
- recognition,
- set
- statistical
- techniques,
- theory,
(artificial adaptation, algorithm, analysis, classes, classification, clustering, fuzzy human intelligence), learning learning, machine method, min-max minimax multiresolution mutually nets, neural neuro-fuzzy neurobiological nonexclusive one-pass online pattern recognition recognition, set statistical techniques, theory, - Jiun-Hung Chen, and Chu-Song Chen. Neural Networks, IEEE Transactions on 13(6):1364--1373 (2002)Jiun-Hung Chen, and Chu-Song Chen. Neural Networks, IEEE Transactions on 13(6):1364--1373 (2002)3 years and 8 months agoby mozaher2
- W. Buntine. Knowledge and Data Engineering, IEEE Transactions on 8(2):195-210 (April 1996)W. Buntine. Knowledge and Data Engineering, IEEE Transactions on 8(2):195-210 (April 1996)3 years and 8 months agoby mozaher7
- C. Breen, L. Khan, and A. Ponnusamy. Database and Expert Systems Applications, 2002. Proceedings. 13th International Workshop on, page 98--102. (2002)C. Breen, L. Khan, and A. Ponnusamy. Database and Expert Systems Applications, 2002. Proceedings. 13th International Workshop on, page 98--102. (2002)3 years and 8 months agoby mozaher2
- M.H. Abul Hasanat, S.Z. Harun, D. Ramachandram, and M. Rajeswari. Computer Graphics, Imaging and Visualisation, 2008. CGIV '08. Fifth International Conference on (August 2008)M.H. Abul Hasanat, S.Z. Harun, D. Ramachandram, and M. Rajeswari. Computer Graphics, Imaging and Visualisation, 2008. CGIV '08. Fifth International Conference on (August 2008)3 years and 8 months agoby mozaher2