Bag of Peaks: interpretation of NMR spectrometry
暂无分享,去创建一个
Manuele Bicego | Gavin Brelstaff | Matilde Chessa | Nicola Culeddu | G. Brelstaff | M. Bicego | N. Culeddu | M. Chessa
[1] Anthony Ralston,et al. Statistical Methods for Digital Computers. , 1980 .
[2] Nello Cristianini,et al. Classification using String Kernels , 2000 .
[3] Alexander J. Smola,et al. Learning with kernels , 1998 .
[4] Anil K. Jain,et al. Data clustering: a review , 1999, CSUR.
[5] T R Brown,et al. NMR spectral quantitation by principal component analysis , 2001, NMR in biomedicine.
[6] Nello Cristianini,et al. Latent Semantic Kernels , 2001, Journal of Intelligent Information Systems.
[7] Ron Kohavi,et al. Wrappers for Feature Subset Selection , 1997, Artif. Intell..
[8] Christopher M. Bishop,et al. Neural Network for Pattern Recognition , 1995 .
[9] R. Carter,et al. Effects of single doses of N-Allylnormorphine on hindlimb reflexes of chronic spinal dogs during cycles of morphine addiction. , 1953, The Journal of pharmacology and experimental therapeutics.
[10] Heng Tao Shen,et al. Principal Component Analysis , 2009, Encyclopedia of Biometrics.
[11] Robert Tibshirani,et al. Sample classification from protein mass spectrometry, by 'peak probability contrasts' , 2004, Bioinform..
[12] Cordelia Schmid,et al. Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).
[13] Robert P.W. Duin,et al. PRTools3: A Matlab Toolbox for Pattern Recognition , 2000 .
[14] W. Hutton,et al. Exponential Parameter Estimation (in NMR) Using Bayesian Probability Theory , 2005 .
[15] J. Felsenstein. CONFIDENCE LIMITS ON PHYLOGENIES: AN APPROACH USING THE BOOTSTRAP , 1985, Evolution; international journal of organic evolution.
[16] Gabriela Csurka,et al. Visual categorization with bags of keypoints , 2002, eccv 2004.
[17] G. Bodenhausen,et al. Principles of nuclear magnetic resonance in one and two dimensions , 1987 .
[18] Henrik Antti,et al. Contemporary issues in toxicology the role of metabonomics in toxicology and its evaluation by the COMET project. , 2003, Toxicology and applied pharmacology.
[19] R. Cattell. The Scree Test For The Number Of Factors. , 1966, Multivariate behavioral research.
[20] Cordelia Schmid,et al. Local Features and Kernels for Classification of Texture and Object Categories: A Comprehensive Study , 2006, CVPR Workshops.
[21] Vincent Kanade,et al. Clustering Algorithms , 2021, Wireless RF Energy Transfer in the Massive IoT Era.
[22] Donald W. Bouldin,et al. A Cluster Separation Measure , 1979, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[23] B. Ripley,et al. Pattern Recognition , 1968, Nature.
[24] John C. Lindon,et al. The handbook of metabonomics and metabolomics , 2007 .
[25] Thorsten Joachims,et al. Text Categorization with Support Vector Machines: Learning with Many Relevant Features , 1998, ECML.
[26] Anil K. Jain,et al. Algorithms for Clustering Data , 1988 .
[27] Royston Goodacre,et al. Metabolic profiling: pathways in discovery. , 2004, Drug discovery today.
[28] Christian Schorn,et al. NMR-Spectroscopy: Data Acquisition , 2001 .
[29] John C. Lindon,et al. Pattern recognition methods and applications in biomedical magnetic resonance , 2001 .
[30] I. Jolliffe. Principal Component Analysis , 2002 .
[31] Pavel Pudil,et al. Introduction to Statistical Pattern Recognition , 2006 .
[32] Thomas M. Barbara. Principles of Nuclear Magnetic Resonance in One and Two Dimensions.Richard R. Ernst , Geoffrey Bodenhausen , Alexander Wokaun , 1988 .
[33] Eric R. Ziegel,et al. The Elements of Statistical Learning , 2003, Technometrics.
[34] Keinosuke Fukunaga,et al. Introduction to Statistical Pattern Recognition , 1972 .
[35] H. Keun,et al. Metabonomic modeling of drug toxicity. , 2006, Pharmacology & therapeutics.