Result 1 to 20 of 31 total
Colour image coding with matching pursuit in the spatio-frequency domain. (English)
Maino, Giuseppe (ed.) et al., Image analysis and processing ‒ ICIAP 2011. 16th international conference, Ravenna, Italy, September 14‒16, 2011. Proceedings, Part I. Berlin: Springer (ISBN 978-3-642-24084-3/pbk). Lecture Notes in Computer Science 6978, 306-317 (2011).
1
Colour image coding with matching pursuit in the spatio-frequency domain (English)
ICIAP (1), 306-317 (2011).
2
Variational inference for student-$t$ MLP models. (English)
Neurocomputing 73, No. 16-18, 2989-2997 (2010).
3
Data visualisation and exploration with prior knowledge. (English)
Palmer-Brown, Dominic (ed.) et al., Engineering applications of neural networks. 11th international conference, EANN 2009, London, UK, August 27‒29, 2009. Proceedings. Berlin: Springer (ISBN 978-3-642-03968-3/pbk; 978-3-642-03969-0/ebook). Communications in Computer and Information Science 43, 131-142 (2009).
4
Combining the wavelet transform and forecasting models to predict gas forward prices (English)
ICMLA, 311-317 (2008).
5
Using Bayesian neural networks with ARD input selection to detect malignant ovarian masses prior to surgery. (English)
Neural Comput. Appl. 17, No. 5-6, 489-500 (2008).
6
Data visualization during the early stages of drug discovery (English)
Journal of Chemical Information and Modeling 46, No. 4, 1806-1818 (2006).
7
Data visualization with simultaneous feature selection (English)
CIBCB, 1-8 (2006).
8
Visual data mining using principled projection algorithms and information visualization techniques (English)
KDD, 643-648 (2006).
9
Guiding local regression using visualisation. (English)
Winkler, Joab (ed.) et al., Deterministic and statistical methods in machine learning. First international workshop, Sheffield, UK, September 7‒10, 2004. Revised lectures. Berlin: Springer (ISBN 978-3-540-29073-5/pbk). Lecture Notes in Computer Science 3635. Lecture Notes in Artificial Intelligence, 98-109 (2005).
10
Semisupervised Learning of Hierarchical Latent Trait Models for Data Visualization. (English)
IEEE Transactions on Knowledge and Data Engineering 17, No.03, 384-400 (2005).
11
Semisupervised learning of hierarchical latent trait models for data visualization (English)
IEEE Trans. Knowl. Data Eng. 17, No. 3, 384-400 (2005).
12
Efficient training of RBF networks for classification. (English)
Int. J. Neural Syst. 14, No. 3, 201-208 (2004).
13
Nonlinear prediction of quantitative structure-activity relationships (English)
Journal of Chemical Information and Modeling 44, No. 5, 1647-1653 (2004).
14
Guiding local regression using visualisation (English)
Deterministic and Statistical Methods in Machine Learning, 98-109 (2004).
15
Outlier detection in scatterometer data: Neural network approaches. (English)
Neural Netw. 16, No. 3-4, 419-426 (2003).
16
Hierarchical GTM: Constructing Localized Nonlinear Projection Manifolds in a Principled Way. (English)
IEEE Transactions on Pattern Analysis and Machine Intelligence 24, No.05, 639-656 (2002).
17
NETLAB. Algorithms for pattern recognition. (English)
Advances in Pattern Recognition. London: Springer. xviii, 420 p. DM 106.89; \sterling 24.50; sFr 94.16; EUR 49.95; \$ 59.95 (2002).
18
Hierarchical GTM: constructing localized nonlinear projection manifolds in a principled way (English)
IEEE Trans. Pattern Anal. Mach. Intell. 24, No. 5, 639-656 (2002).
19
Using directional curvatures to visualize folding patterns of the GTM projection manifolds. (English)
Dorffner, Georg (ed.) et al., Artificial neural networks - ICANN 2001. International conference, Vienna, Austria, August 21-25, 2001. Proceedings. Berlin: Springer. Lect. Notes Comput. Sci. 2130, 421-428 (2001).
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Result 1 to 20 of 31 total
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