lbustio's library 72 articles Export

	An Embedded Support Vector Machine [My Copy] Intelligent Solutions in Embedded Systems, 2006 International Workshop on In Intelligent Solutions in Embedded Systems, 2006 International Workshop on (2006), pp. 1-11. by R. Pedersen, M. Schoeberl posted to no-tag by lbustio on 2009-06-24 01:29:37 as
	UCI Machine Learning Repository [My Copy] (2007) by A. Asuncion, D. J. Newman posted to no-tag by lbustio on 2009-06-12 22:43:11 as
	Riemann-Lebesgue Lemma [My Copy] by Eric W. Weisstein posted to no-tag by lbustio on 2009-06-03 07:30:04 as
	Cost & Performance Measures for Optimizing Configurable Computer Architectures [My Copy] by C. Mirchandani posted to no-tag by lbustio on 2009-06-03 02:59:57 as
	Fast support vector machine training and classification on graphics processors [My Copy] In ICML '08: Proceedings of the 25th international conference on Machine learning (2008), pp. 104-111. by Bryan Catanzaro, Narayanan Sundaram, Kurt Keutzer posted to no-tag by lbustio on 2009-06-02 19:39:55 as along with 3 people eddymier naoya mamadoudiao
	FPGA Implementation of Support Vector Machine Based Isolated Digit Recognition System [My Copy] In VLSID '09: Proceedings of the 2009 22nd International Conference on VLSI Design (2009), pp. 347-352. by J. Manikandan, B. Venkataramani, V. Avanthi posted to no-tag by lbustio on 2009-06-01 23:20:08 as
	Fast SVM Training Algorithm with Decomposition on Very Large Data Sets [My Copy] IEEE Trans. Pattern Anal. Mach. Intell., Vol. 27, No. 4. (2005), pp. 603-618. by Jian X. Dong posted to no-tag by lbustio on 2009-06-01 23:19:04 as along with 1 person Sinapsi
	Fast Support Vector Machine Classification using linear SVMs [My Copy] Pattern Recognition, 2006. ICPR 2006. 18th International Conference on In Pattern Recognition, 2006. ICPR 2006. 18th International Conference on, Vol. 3 (2006), pp. 366-369. by K. Z. Arreola, J. Fehr, H. Burkhardt posted to no-tag by lbustio on 2009-06-01 23:17:07 as
	Embedded Support Vector Machine : Architectural Enhancements and Evaluation [My Copy] VLSI Design, 2007. Held jointly with 6th International Conference on Embedded Systems., 20th International Conference on (2007), pp. 685-690. by S. Dey, M. Kedia, N. Agarwal, A. Basu posted to no-tag by lbustio on 2009-06-01 23:16:07 as along with 1 person gkvas
	Efficient Algorithm for Localized Support Vector Machine [My Copy] IEEE Transactions on Knowledge and Data Engineering, Vol. 99, No. 1. (5555) by Haibin Cheng, Pang N. Tan, Rong Jin posted to no-tag by lbustio on 2009-06-01 23:14:36 as
	Efficient Implementation of SVM Training on Embedded Electronic Systems [My Copy] In WILF '07: Proceedings of the 7th international workshop on Fuzzy Logic and Applications (2007), pp. 269-276. by Paolo Gastaldo, Giovanni Parodi, Sergio Decherchi, Rodolfo Zunino posted to no-tag by lbustio on 2009-06-01 23:12:50 as
	Candidate Vectors Selection for Training Support Vector Machines [My Copy] Natural Computation, 2007. ICNC 2007. Third International Conference on In Natural Computation, 2007. ICNC 2007. Third International Conference on, Vol. 1 (2007), pp. 538-542. by Minqiang Li, Fuzan Chen, Jisong Kou posted to no-tag by lbustio on 2009-06-01 23:10:29 as
	An FPGA Implementation of Linear Kernel Support Vector Machines [My Copy] Reconfigurable Computing and FPGA's, 2006. ReConFig 2006. IEEE International Conference on In Reconfigurable Computing and FPGA's, 2006. ReConFig 2006. IEEE International Conference on (2006), pp. 1-6. by Omar Pina-Ramirez, Raquel Valdes-Cristerna, Oscar Yanez-Suarez posted to no-tag by lbustio on 2009-06-01 23:08:19 as along with 1 person mmuecke
	An Efficient Method for Large Scale Classification Problems [My Copy] In ICNC '08: Proceedings of the 2008 Fourth International Conference on Natural Computation (2008), pp. 22-25. by Ya L. Qi posted to no-tag by lbustio on 2009-06-01 23:06:49 as
	An Accelerated SMO-Type Online Learning Algorithm [My Copy] Computational Intelligence and Security, 2007 International Conference on In Computational Intelligence and Security, 2007 International Conference on (2007), pp. 65-69. by Zhifeng Hao, Zhenhua He, Xiaowei Yang posted to no-tag by lbustio on 2009-06-01 23:05:18 as
	Accelerating the SVM Learning for Very Large Data Sets [My Copy] In ICPR '06: Proceedings of the 18th International Conference on Pattern Recognition (2006), pp. 484-489. by Eric Sung, Zhu Yan, Li Xuchun posted to no-tag by lbustio on 2009-06-01 23:03:34 as
	A support vector machine with integer parameters [My Copy] Neurocomput., Vol. 72, No. 1-3. (2008), pp. 480-489. by Davide Anguita, Alessandro Ghio, Stefano Pischiutta, Sandro Ridella posted to no-tag by lbustio on 2009-06-01 23:00:54 as
	A Support Vector Machine with a Hybrid Kernel and Minimal Vapnik-Chervonenkis Dimension [My Copy] IEEE Trans. on Knowl. and Data Eng., Vol. 16, No. 4. (2004), pp. 385-395. by Ying Tan, Jun Wang posted to no-tag by lbustio on 2009-06-01 23:00:01 as
	A Parallel Multi-Class Classification Support Vector Machine Based on Sequential Minimal Optimization [My Copy] In IMSCCS '06: Proceedings of the First International Multi-Symposiums on Computer and Computational Sciences - Volume 1 (IMSCCS'06) (2006), pp. 443-446. by Jing Yang, Xue Yang, Jianpei Zhang posted to no-tag by lbustio on 2009-06-01 22:58:02 as
	A Novel Model of Working Set Selection for SMO Decomposition Methods [My Copy] Tools with Artificial Intelligence, 2007. ICTAI 2007. 19th IEEE International Conference on In Tools with Artificial Intelligence, 2007. ICTAI 2007. 19th IEEE International Conference on, Vol. 2 (2007), pp. 283-290. by Zhen-Dong Zhao, Lei Yuan, Yu-Xuan Wang, F. S. Bao, Shun-Yi Zhang, Yan-Fei Sun posted to no-tag by lbustio on 2009-06-01 22:55:07 as
	A New Strategy for Selecting Working Sets Applied in SMO [My Copy] In ICPR '02: Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 3 (2002), 30427. by Jianmin Li, Bo Zhang, Fuzong Lin posted to no-tag by lbustio on 2009-06-01 22:52:16 as
	A learning machine for resource-limited adaptive hardware [My Copy] Adaptive Hardware and Systems, NASA/ESA Conference on, Vol. 0 (2007), pp. 571-576. by Davide Anguita, Alessandro Ghio, Stefano Pischiutta posted to no-tag by lbustio on 2009-06-01 22:47:18 as
	A Third Level Trigger Programmable on FPGA for the Gamma/Hadron Separation in a Cherenkov Telescope using Pseudo-Zernike Moments and the SVM Classifier [My Copy] In Confer{\`e}ncies de les Jornades de Commemoraci{\'o} i Estudi de l'Eclipsi Total de Sol a la Mallorca de 1905 (2006) by M. frailis, O. mansutti, P. boinee, et al.G. cabras, de A. Angelis, de B. Lotto, M. dell'orso, A. forti, M. mariotti, R. paoletti, L. peruzzo, A. saggion, A. scribano, N. turini edited by de A. Angelis, O. mansutti posted to no-tag by lbustio on 2009-06-01 22:44:18 as
	Simplified Support Vector Decision Rules [My Copy] In International Conference on Machine Learning (1996), pp. 71-77. by Christopher J. C. Burges posted to no-tag by lbustio on 2009-05-29 18:51:05 as along with 3 people tubbens iggykay weymouth
	Prior knowledge in support vector kernels [My Copy] In NIPS '97: Proceedings of the 1997 conference on Advances in neural information processing systems 10 (1998), pp. 640-646. by Bernhard Schölkopf, Patrice Simard, Alex Smola, Vladimir Vapnik posted to no-tag by lbustio on 2009-05-29 18:47:05 as
	Bounds on Error Expectation for Support Vector Machines [My Copy] Neural Comput., Vol. 12, No. 9. (2000), pp. 2013-2036. by V. Vapnik, O. Chapelle posted to no-tag by lbustio on 2009-05-29 18:44:31 as
	Support Vector Method for Novelty Detection [My Copy] Advances in Neural Information Processing Systems, Vol. 12 (2000) by Bernhard Schölkopf, Robert Williamson, Alex Smola, John Shawe-Taylor, John Platt posted to no-tag by lbustio on 2009-05-29 18:34:51 as along with 1 person PeterRabbit
	Introduction to Statistical Pattern Recognition, Second Edition (Computer Science and Scientific Computing Series) [My Copy] (28 September 1990) by Keinosuke Fukunaga posted to no-tag by lbustio on 2009-05-29 01:42:36 as along with 6 people awg2 mboehmer yaroslavvb sdvillal teesid matjes
	$My PDF frie\ss_98_kerneladatron.pdf$ The Kernel-Adatron Algorithm: A Fast and Simple Learning Procedure for Support Vector Machines [My Copy] In ICML '98: Proceedings of the Fifteenth International Conference on Machine Learning (1998), pp. 188-196. by Thilo T. Frie\ss, Nello Cristianini, Colin Campbell posted to no-tag by lbustio on 2009-05-29 01:37:15 as
	Support Vector Machines: Training and Applications [My Copy] (1997) by Edgar Osuna, Robert Freund, Federico Girosi posted to no-tag by lbustio on 2009-05-29 01:31:15 as
	Support Vector Machine reference manual [My Copy] (1998) by R. Saunders, C. Stitson, J. Weston, L. Bottou, B. Scholkopf, A. Smola posted to no-tag by lbustio on 2009-05-29 01:29:33 as along with 1 person sflinter
	New Support Vector Algorithms [My Copy] (1998) by Bernhard Schölkopf, Bernhard S. Gmd, Alex J. Smola, Robert Williamson, Peter Bartlett posted to no-tag by lbustio on 2009-05-29 01:25:04 as
	Lagrangian support vector machines [My Copy] J. Mach. Learn. Res., Vol. 1 (2001), pp. 161-177. by O. L. Mangasarian, David R. Musicant posted to no-tag by lbustio on 2009-05-29 01:17:18 as along with 1 person jorgeac
	Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond (Adaptive Computation and Machine Learning) [My Copy] (15 December 2001) by Bernhard Schlkopf, Alexander J. Smola posted to no-tag by lbustio on 2009-05-29 01:12:20 as along with 16 people and 2 groups MajorTomm vertikalist shrikondra inayatkh sbarthelme thefillm sdvillal AbnerCYH raiyar wenhan librain jung_dalglish robotact singhsh ecome quianominorleo BTS-PT-AS-CS Medical Image Analysis and Visualization @ OSU
	An introduction to support vector machines : and other kernel-based learning methods [My Copy] (28 March 2000) by Nello Cristianini, John Shawe-Taylor posted to no-tag by lbustio on 2009-05-29 01:10:34 as along with 27 people and 6 groups barmak7282 gavin1332 drivard gkvas shrikondra vlasto now yaroslavvb sb-3000 davidr baaic sleitich ryanshaw nello MatMay grzegorz buescher76 lyongu archroad AbnerCYH brunomelo atbrew kklo mfcabrera asterix77 eacosta quianominorleo sims_phd_cohort_2005 digital_youth Computational-Genomics Pattern-Analysis AI RiSE
	Online Learning with Kernels [My Copy] (2003) by Jyrki Kivinen, Alexander J. Smola, Robert C. Williamson posted to no-tag by lbustio on 2009-05-29 01:06:09 as
	A tutorial on support vector machines for pattern recognition [My Copy] Data Mining and Knowledge Discovery, Vol. 2 (1998), pp. 121-167. by Christopher J. C. Burges posted to no-tag by lbustio on 2009-05-29 01:01:44 as along with 1 person orahcio
	Text Categorization with Support Vector Machines: Learning with Many Relevant Features [My Copy] (1998) by Anforderungen An, Lehrstuhl Viii, Thorsten Joachims, Fachbereich Informatik posted to no-tag by lbustio on 2009-05-28 20:54:56 as
	Improving the Accuracy and Speed of Support Vector Machines [My Copy] In Advances in Neural Information Processing Systems 9, Vol. 9 (1997), pp. 375-381. by Chris J. C. Burges, Bernhard Schölkopf posted to no-tag by lbustio on 2009-05-28 20:51:21 as
	Learning Algorithms For Classification: A Comparison On Handwritten Digit Recognition [My Copy] In Neural Networks: The Statistical Mechanics Perspective (1995), pp. 261-276. by Yann Lecun, L. D. Jackel, Harris A. Eduard, et al.N. Bottou, Corinna Cortes, John S. Denker, Harris Drucker, Eduard Sackinger, Patrice Simard, Vladimir Vapnik posted to no-tag by lbustio on 2009-05-28 20:47:31 as
	Advances in Kernel Methods - Support Vector Learning [My Copy] (1998) by Bernhard Schölkopf, Christopher J. C. Burges, Alexander, Alexander J. Smola posted to no-tag by lbustio on 2009-05-28 20:44:16 as
	Support Vector Networks [My Copy] In Machine Learning, Vol. 20 (1995), pp. 273-297. by Corinna Cortes, Vladimir Vapnik posted to no-tag by lbustio on 2009-05-28 20:40:29 as along with 5 people barmak7282 awg2 xuzhe83 robert85 fsyu2005
	A Training Algorithm for Optimal Margin Classifiers [My Copy] In Proceedings of the 5th Annual ACM Workshop on Computational Learning Theory (1992), pp. 144-152. by Bernhard E. Boser, Isabelle M. Guyon, Vladimir N. Vapnik posted to no-tag by lbustio on 2009-05-28 20:38:44 as
	Circuital implementation of support vector machines [My Copy] Electronics Letters In Electronics Letters, Vol. 34, No. 16. (1998), pp. 1596-1597. by D. Anguita, S. Ridella, S. Rovetta posted to no-tag by lbustio on 2009-05-28 08:43:36 as
	Retrieval of the Top N Matches with Support Vector Machines [My Copy] Pattern Recognition, International Conference on, Vol. 2 (2000), 2716. by Jae J. Kim, Bon W. Hwang, Seong W. Lee posted to no-tag by lbustio on 2009-05-28 08:31:44 as
	Improvements to Platt's SMO Algorithm for SVM Classifier Design [My Copy] Technical Report CD-99-14 (1999) by S. S. Keerthi, S. K. Shevade, C. Bhattacharyya, K. R. K. Murthy edited by National posted to no-tag by lbustio on 2009-05-28 08:06:05 as
	A Geometric Approach to Train Support Vector Machines [My Copy] Computer Vision and Pattern Recognition, IEEE Computer Society Conference on, Vol. 1 (2000), 1430. by Ming H. Yang, Narendra Ahuja posted to no-tag by lbustio on 2009-05-28 07:54:05 as
	Statistical learning theory and state of the art in SVM [My Copy] Cognitive Informatics, 2003. Proceedings. The Second IEEE International Conference on In Cognitive Informatics, 2003. Proceedings. The Second IEEE International Conference on (2003), pp. 55-59. by Xiangying Wang, Yixin Zhong posted to no-tag by lbustio on 2009-05-28 06:52:07 as along with 1 person dcastro
	A Survey on Training Algorithms for Support Vector Machine Classifiers [My Copy] Networked Computing and Advanced Information Management, International Conference on, Vol. 1 (2008), pp. 123-128. by Guosheng Wang posted to no-tag by lbustio on 2009-05-25 22:06:05 as along with 1 person and 1 group danmaclean Bioinformatics
	The Nature of Statistical Learning Theory (Information Science and Statistics) [My Copy] (19 November 1999) by Vladimir N. Vapnik posted to no-tag by lbustio on 2009-05-25 21:28:42 as along with 18 people pjcite bayesian gstiglic brian thefillm yaroslavvb creswick mthomure sdvillal atbrew girschick nmdang navil teesid jung_dalglish ecome jaonary akastrin

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