Applications of Support Vector Machines for Pattern Recognition: A Survey
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[1] Tomaso A. Poggio,et al. Face recognition with support vector machines: global versus component-based approach , 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.
[2] Abdel Belaïd,et al. Handwriting recognition using local methods for normalization and global methods for recognition , 2001, Proceedings of Sixth International Conference on Document Analysis and Recognition.
[3] Anil K. Jain,et al. Automatic text location in images and video frames , 1998, Proceedings. Fourteenth International Conference on Pattern Recognition (Cat. No.98EX170).
[4] Loo-Nin Teow,et al. Robust vision-based features and classification schemes for off-line handwritten digit recognition , 2002, Pattern Recognit..
[5] Xia Shaowei,et al. Support vector machine and its application in handwritten numeral recognition , 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.
[6] Ulrich H.-G. Kreßel,et al. Pairwise classification and support vector machines , 1999 .
[7] W. Pedrycz,et al. Severe storm cell classification using support vector machines and radial basis function approaches , 2001, Canadian Conference on Electrical and Computer Engineering 2001. Conference Proceedings (Cat. No.01TH8555).
[8] Mark A. Randolph,et al. A support vector machines-based rejection technique for speech recognition , 2001, 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221).
[9] M.M. Van Hulle,et al. View-based 3D object recognition with support vector machines , 1999, Neural Networks for Signal Processing IX: Proceedings of the 1999 IEEE Signal Processing Society Workshop (Cat. No.98TH8468).
[10] R. Eckmiller,et al. Predicting the nonlinear dynamics of biological neurons using support vector machines with different kernels , 2001, IJCNN'01. International Joint Conference on Neural Networks. Proceedings (Cat. No.01CH37222).
[11] Vladimir Vapnik,et al. The Nature of Statistical Learning , 1995 .
[12] Hongjoo Kim,et al. Supervised texture segmentation using support vector machines , 1999 .
[13] Thorsten Joachims,et al. Text Categorization with Support Vector Machines: Learning with Many Relevant Features , 1998, ECML.
[14] Anastasios Tefas,et al. Using Support Vector Machines to Enhance the Performance of Elastic Graph Matching for Frontal Face Authentication , 2001, IEEE Trans. Pattern Anal. Mach. Intell..
[15] Massimiliano Pontil,et al. Support Vector Machines for 3D Object Recognition , 1998, IEEE Trans. Pattern Anal. Mach. Intell..
[16] Bernhard Schölkopf,et al. A tutorial on support vector regression , 2004, Stat. Comput..
[17] Chin-Seng Chua,et al. Facial feature detection and face recognition from 2D and 3D images , 2002, Pattern Recognit. Lett..
[18] Ioannis Pitas,et al. Frontal face detection using support vector machines and back-propagation neural networks , 2001, Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205).
[19] Alessandro Verri,et al. Representing and recognizing visual dynamic events with support vector machines , 1999, Proceedings 10th International Conference on Image Analysis and Processing.
[20] Harry Wechsler,et al. Mixture of experts for classification of gender, ethnic origin, and pose of human faces , 2000, IEEE Trans. Neural Networks Learn. Syst..
[21] Andrew Blake,et al. Computationally efficient face detection , 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.
[22] D. Signorini,et al. Neural networks , 1995, The Lancet.
[23] Christopher J. C. Burges,et al. Simplified Support Vector Decision Rules , 1996, ICML.
[24] Harry Wechsler,et al. Face pose discrimination using support vector machines (SVM) , 1998, Proceedings. Fourteenth International Conference on Pattern Recognition (Cat. No.98EX170).
[25] Shaogang Gong,et al. Composite support vector machines for detection of faces across views and pose estimation , 2002, Image Vis. Comput..
[26] Corinna Cortes,et al. Support-Vector Networks , 1995, Machine Learning.
[27] S. Sathiya Keerthi,et al. Improvements to Platt's SMO Algorithm for SVM Classifier Design , 2001, Neural Computation.
[28] Manfred K. Warmuth,et al. The Perceptron Algorithm Versus Winnow: Linear Versus Logarithmic Mistake Bounds when Few Input Variables are Relevant (Technical Note) , 1997, Artif. Intell..
[29] William M. Campbell,et al. Support vector machines for speaker verification and identification , 2000, Neural Networks for Signal Processing X. Proceedings of the 2000 IEEE Signal Processing Society Workshop (Cat. No.00TH8501).
[30] Kwang In Kim,et al. Recognition of facial images using support vector machines , 2001, Proceedings of the 11th IEEE Signal Processing Workshop on Statistical Signal Processing (Cat. No.01TH8563).
[31] Jie Zhou,et al. SVM-based detection of moving vehicles for automatic traffic monitoring , 2001, ITSC 2001. 2001 IEEE Intelligent Transportation Systems. Proceedings (Cat. No.01TH8585).
[32] Si Wu,et al. Improving support vector machine classifiers by modifying kernel functions , 1999, Neural Networks.
[33] Edoardo Ardizzone,et al. Pose classification using support vector machines , 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium.
[34] Marimuthu Palaniswami,et al. Selecting bankruptcy predictors using a support vector machine approach , 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium.
[35] Manfred K. Warmuth,et al. The perceptron algorithm vs. Winnow: linear vs. logarithmic mistake bounds when few input variables are relevant , 1995, COLT '95.
[36] Hyeran Byun,et al. Automatic text extraction in news images using morphology , 2002, IS&T/SPIE Electronic Imaging.
[37] Federico Girosi,et al. Training support vector machines: an application to face detection , 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[38] Harris Drucker,et al. Support vector machines for spam categorization , 1999, IEEE Trans. Neural Networks.
[39] Yuan Yao,et al. Combining flat and structured representations for fingerprint classification with recursive neural networks and support vector machines , 2003, Pattern Recognit..
[40] M.R. Azimi-Sadjadi,et al. Cloud classification using support vector machines , 2000, IGARSS 2000. IEEE 2000 International Geoscience and Remote Sensing Symposium. Taking the Pulse of the Planet: The Role of Remote Sensing in Managing the Environment. Proceedings (Cat. No.00CH37120).
[41] Yuan Qi,et al. Hybrid independent component analysis and support vector machine learning scheme for face detection , 2001, 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221).
[42] Junping Zhang,et al. Classification of hyperspectral data using support vector machine , 2001, Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205).
[43] Qi Tian,et al. Update relevant image weights for content-based image retrieval using support vector machines , 2000, 2000 IEEE International Conference on Multimedia and Expo. ICME2000. Proceedings. Latest Advances in the Fast Changing World of Multimedia (Cat. No.00TH8532).
[44] Dusan Cakmakov,et al. Handwritten digit recognition by combining support vector machines using rule-based reasoning , 2001, Proceedings of the 23rd International Conference on Information Technology Interfaces, 2001. ITI 2001..
[45] Johan A. K. Suykens,et al. Financial time series prediction using least squares support vector machines within the evidence framework , 2001, IEEE Trans. Neural Networks.
[46] Vladimir N. Vapnik,et al. The Nature of Statistical Learning Theory , 2000, Statistics for Engineering and Information Science.
[47] F. Tay,et al. Application of support vector machines in financial time series forecasting , 2001 .
[48] Erik Hjelmås,et al. Face Detection: A Survey , 2001, Comput. Vis. Image Underst..
[49] Tomaso A. Poggio,et al. Learning-based approach to real time tracking and analysis of faces , 2000, Proceedings Fourth IEEE International Conference on Automatic Face and Gesture Recognition (Cat. No. PR00580).
[50] Anil K. Jain,et al. Automatic text location in images and video frames , 1998, Proceedings. Fourteenth International Conference on Pattern Recognition (Cat. No.98EX170).
[51] David C. Gibbon,et al. Support vector machines: relevance feedback and information retrieval , 2002, Inf. Process. Manag..
[52] Qi Tian,et al. Incorporate support vector machines to content-based image retrieval with relevance feedback , 2000, Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101).
[53] Tomaso A. Poggio,et al. A general framework for object detection , 1998, Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271).
[55] Ulrich Kressel,et al. Pedestrian recognition by classification of image sequences - global approaches vs. local spatio-temporal processing , 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.
[56] Samy Bengio,et al. Learning the decision function for speaker verification , 2001, 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221).
[57] Bernhard E. Boser,et al. A training algorithm for optimal margin classifiers , 1992, COLT '92.
[58] Juwei Lu,et al. Face recognition using feature optimization and /spl nu/-support vector learning , 2001, Neural Networks for Signal Processing XI: Proceedings of the 2001 IEEE Signal Processing Society Workshop (IEEE Cat. No.01TH8584).
[59] Ming-Hsuan Yang,et al. Gender classification using support vector machines , 2000, Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101).
[60] Bo Zhang,et al. Support vector machine learning for image retrieval , 2001, Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205).
[61] Jiri Matas,et al. Support vector machines for face authentication , 2002, Image Vis. Comput..
[62] Shaogang Gong,et al. Support vector regression and classification based multi-view face detection and recognition , 2000, Proceedings Fourth IEEE International Conference on Automatic Face and Gesture Recognition (Cat. No. PR00580).
[63] Herman Martins Gomes,et al. Appearance-based object recognition using support vector machines , 2001, Proceedings XIV Brazilian Symposium on Computer Graphics and Image Processing.
[64] Guangyou Xu,et al. Face detection based on template matching and support vector machines , 2001, Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205).
[65] Hang Joon Kim,et al. Support vector machine-based text detection in digital video , 2000, Neural Networks for Signal Processing X. Proceedings of the 2000 IEEE Signal Processing Society Workshop (Cat. No.00TH8501).
[66] Shigeru Akamatsu,et al. Invariant face detection with support vector machines , 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.
[67] Edward Y. Chang,et al. Support vector machine active learning for image retrieval , 2001, MULTIMEDIA '01.
[68] Guodong Guo,et al. Face recognition by support vector machines , 2000, Proceedings Fourth IEEE International Conference on Automatic Face and Gesture Recognition (Cat. No. PR00580).
[69] Tomaso A. Poggio,et al. People recognition and pose estimation in image sequences , 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium.
[70] Dell Zhang,et al. Question classification using support vector machines , 2003, SIGIR.
[71] Guodong Guo,et al. Distance-from-boundary as a metric for texture image retrieval , 2001, 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221).
[72] Shaogang Gong,et al. Multi-view face detection and pose estimation using a composite support vector machine across the view sphere , 1999, Proceedings International Workshop on Recognition, Analysis, and Tracking of Faces and Gestures in Real-Time Systems. In Conjunction with ICCV'99 (Cat. No.PR00378).
[73] Nello Cristianini,et al. Large Margin DAGs for Multiclass Classification , 1999, NIPS.
[74] Colin Fyfe,et al. Probability prediction using support vector machines , 2000, KES'2000. Fourth International Conference on Knowledge-Based Intelligent Engineering Systems and Allied Technologies. Proceedings (Cat. No.00TH8516).
[75] J. Platt. Sequential Minimal Optimization : A Fast Algorithm for Training Support Vector Machines , 1998 .
[76] I C G Campbell,et al. Radial Basis Function Networks: Design and Applications , 2000 .
[77] Xin Dong,et al. Speaker recognition using continuous density support vector machines , 2001 .
[78] S. Beksac,et al. Feature extraction and classification of blood cells for an automated differential blood count system , 2001, IJCNN'01. International Joint Conference on Neural Networks. Proceedings (Cat. No.01CH37222).
[79] Zhang Li,et al. Radar target recognition based on support vector machine , 2000, WCC 2000 - ICSP 2000. 2000 5th International Conference on Signal Processing Proceedings. 16th World Computer Congress 2000.
[80] Fabrizio Smeraldi,et al. Retinal vision applied to facial features detection and face authentication , 2002, Pattern Recognit. Lett..
[81] Shaogang Gong,et al. Multi-view face detection using support vector machines and eigenspace modelling , 2000, KES'2000. Fourth International Conference on Knowledge-Based Intelligent Engineering Systems and Allied Technologies. Proceedings (Cat. No.00TH8516).
[82] Bernhard Schölkopf,et al. The connection between regularization operators and support vector kernels , 1998, Neural Networks.
[83] Guodong Guo,et al. Support vector machines for face recognition , 2001, Image Vis. Comput..
[84] Arthur Gretton,et al. Nonstationary signal classification using support vector machines , 2001, Proceedings of the 11th IEEE Signal Processing Workshop on Statistical Signal Processing (Cat. No.01TH8563).
[85] Francis Eng Hock Tay,et al. Modified support vector machines in financial time series forecasting , 2002, Neurocomputing.
[86] Patrick Verlinde,et al. Multi-modal identity verification using support vector machines (SVM) , 2000, Proceedings of the Third International Conference on Information Fusion.
[87] Hsien-Che Lee,et al. A novel support vector machine-based face detection method , 1999, Conference Record of the Thirty-Third Asilomar Conference on Signals, Systems, and Computers (Cat. No.CH37020).
[88] Patrick J. Wolfe,et al. Nonlinear perceptual audio filtering using support vector machines , 2001, Proceedings of the 11th IEEE Signal Processing Workshop on Statistical Signal Processing (Cat. No.01TH8563).
[89] C. A. Murthy,et al. Data condensation in large databases by incremental learning with support vector machines , 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.
[90] Nicola Ancona,et al. Goal detection in football by using support vector machines for classification , 2001, IJCNN'01. International Joint Conference on Neural Networks. Proceedings (Cat. No.01CH37222).
[91] Wen-Fang Xie,et al. Bullet-hole image classification with support vector machines , 2000, Neural Networks for Signal Processing X. Proceedings of the 2000 IEEE Signal Processing Society Workshop (Cat. No.00TH8501).
[92] Yee Leung,et al. Image classification by support vector machines , 2001, Proceedings of 2001 International Symposium on Intelligent Multimedia, Video and Speech Processing. ISIMP 2001 (IEEE Cat. No.01EX489).