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lbatista library [62 articles]

Статьи, недавно добавленные в библиотеку lbatista .
  • Target dependent score normalization techniques and their application to signature verification
    Systems, Man and Cybernetics, Part C: Applications and Reviews, IEEE Transactions on, Vol. 35, No. 3. (2005), pp. 418-425.
    posted to multibiometrcs score_normalization by lbatista on 2007-11-16 19:44:29 as **
  • Exploiting global and local decisions for multimodal biometrics verification
    Signal Processing, IEEE Transactions on [see also Acoustics, Speech, and Signal Processing, IEEE Transactions on], Vol. 52, No. 10. (2004), pp. 3059-3072.
    by KA Toh, Xudong Jiang, Wei-Yun Yau
    posted to multibiometrics by lbatista on 2007-11-16 16:58:40 as read along with 1 person drivard
  • On using prototype reduction schemes and classifier fusion strategies to optimize kernel-based nonlinear subspace methods
    Pattern Analysis and Machine Intelligence, IEEE Transactions on, Vol. 27, No. 3. (2005), pp. 455-460.
    by Sang-Woon Kim, BJ Oommen
  • Random subspaces and subsampling for 2-D face recognition
    Computer Vision and Pattern Recognition, 2005. CVPR 2005. IEEE Computer Society Conference on, Vol. 2 (2005), pp. 582-589 vol. 2.
    by NV Chawla, KW Bowyer
    posted to random subspaces by lbatista on 2007-06-19 18:57:12 as ** along with 1 group LIVIA
  • Input sample selection for RBF neural network classification problems using sensitivity measure
    Systems, Man and Cybernetics, 2003. IEEE International Conference on, Vol. 3 (2003), pp. 2593-2598 vol.3.
    by WWY Ng, DS Yeung, I Cloete
    posted to sample selection by lbatista on 2007-06-18 19:27:23 as ** along with 1 group LIVIA
  • Grafting: Fast, Incremental Feature Selection by Gradient Descent in Function Space
    by Simon Perkins, Kevin Lacker, James Theiler
  • Parameterization of a forgery handwritten signature verification system using SVM
    Security Technology, 2004. 38th Annual 2004 International Carnahan Conference on (2004), pp. 193-196.
    by LE Martinez, CM Travieso, JB Alonso, MA Ferrer
  • A multiresolution approach to computer verification of handwritten signatures
    Image Processing, IEEE Transactions on, Vol. 4, No. 6. (1995), pp. 870-874.
    by Yingyong Qi, BR Hunt
  • Online adaptation of hidden Markov models using incremental estimation algorithms
    Speech and Audio Processing, IEEE Transactions on, Vol. 7, No. 3. (1999), pp. 253-261.
    by VV Digalakis
  • Smooth On-line Learning Algorithms for Hidden Markov Models
    Neural Computation, Vol. 6, No. 2. (1994), pp. 307-318.
    by Pierre Baldi, Yves Chauvin
  • On-line estimation of hidden Markov model parameters based on the Kullback-Leibler information measure
    Signal Processing, IEEE Transactions on [see also Acoustics, Speech, and Signal Processing, IEEE Transactions on], Vol. 41, No. 8. (1993), pp. 2557-2573.
  • Feature learning for recognition with Bayesian networks
    Pattern Recognition, 2000. Proceedings. 15th International Conference on, Vol. 1 (2000), pp. 17-20 vol.1.
    by JH Piater, RA Grupen
    posted to feature_learning incremental_learning by lbatista on 2006-11-15 02:54:54 as read along with 1 group LIVIA
  • Performance Evaluation of Incremental Eigenspace Models for Mobile Robot Localization
    International Conference on Advanced Robotics (2003)
    by R Freitas, Santos J Victor, Sarcinelli M Filho, Bastos T Filho
  • An Incremental Principal Component Analysis for Chunk Data
    Fuzzy Systems, 2006 IEEE International Conference on (2006), pp. 2278-2285.
    by S Ozawa, Shaoning Pang, N Kasabov
  • Incremental Eigenanalysis for Classification
    British Machine Vision Conference (1998), pp. 286-295.
    by P Hall, D Marshall, R Martin
  • Incremental learning for online face recognition
    Neural Networks, 2005. IJCNN '05. Proceedings. 2005 IEEE International Joint Conference on, Vol. 5 (2005), pp. 3174-3179 vol. 5.
    by S Ozawa, SL Toh, S Abe, Shaoning Pang, N Kasabov
  • A Codebook Adaptation Algorithm for SCHMM Using Formant Distribution
    International Conference on Spoken Language Processing, Vol. 2 (1996), pp. 1085-1088.
    by TY Yang, WH Shin, WG Kim, DH Youn
  • Hidden Markov models: a guided tour
    Acoustics, Speech, and Signal Processing, 1988. ICASSP-88., 1988 International Conference on (1988), pp. 7-13 vol.1.
    by AB Poritz
  • OFF-LINE SIGNATURE VERIFICATION AND RECOGNITION BY SUPPORT VECTOR MACHINE
    European Signal Processing Conference (2005)
  • An off-line signature verification system using an extracted displacement function
    Document Analysis and Recognition, 1999. ICDAR '99. Proceedings of the Fifth International Conference on (1999), pp. 757-760.
  • Off-line signature verification using fuzzy ARTMAP neural network
    Neural Networks, 1995. Proceedings., IEEE International Conference on, Vol. 4 (1995), pp. 2179-2184 vol.4.
  • A Fuzzy Perception for Off-Line Handwritten Signature Verification
    Brazilian Symposium on Document Image Analysis (1997), pp. 261-272.
    by C Simon, E Levrat, Robert Sabourin, Jacques Bremont
  • A Prototype for Brazilian Bankcheck Recognition
    International Journal of Pattern Recognition and Artificial Intelligence, Vol. 11, No. 4. (1997), pp. 549-569.
    by L Lee, M Lizarraga, N Gomes, A Koerich
  • Bagging Predictors
    Machine Learning, Vol. 24, No. 2. (1996), pp. 123-140.
    by Leo Breiman
  • On-line Signature Verification
    International Journal of Pattern Recognition and Artificial Intelligence, Vol. 11, No. 4. (2002), pp. 549-569.
    by A Jain, F Griess, S Connell
  • Incremental learning with support vector machines
    International Joint Conference on Artificial Intelligence (1999)
    by N Syed, H Liu, K Sung
  • Efficient training algorithms for HMMs using incremental estimation
    Speech and Audio Processing, IEEE Transactions on, Vol. 6, No. 6. (1998), pp. 539-548.
  • Comments on “Efficient training algorithms for HMMs using incremental estimation”
    Speech and Audio Processing, IEEE Transactions on, Vol. 8, No. 6. (2000), pp. 751-754.
  • SVM incremental learning, adaptation and optimization
    Neural Networks, 2003. Proceedings of the International Joint Conference on, Vol. 4 (2003), pp. 2685-2690 vol.4.
  • Incremental and Decremental Support Vector Machine Learning
    Advances in Neural Information Processing Systems, Vol. 13 (2000), pp. 409-415.
    by Gert Cauwenberghs, Tomaso Poggio
  • Offline signature verification with generated training samples
    Vision, Image and Signal Processing, IEE Proceedings-, Vol. 149, No. 2. (2002), pp. 85-90.
    by B Fang, C Leung, Y Tang, P Kwok, K Tse, Y Wong
  • Improved class statistics estimation for sparse data problems in offline signature verification
    Systems, Man and Cybernetics, Part C, IEEE Transactions on, Vol. 35, No. 3. (2005), pp. 276-286.
    by B Fang, Y Tang
  • Off-line signature verification by local granulometric size distributions
    IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 19, No. 9. (1997), pp. 976-988.
  • Shape matrices as a mixed shape factor for off-line signature verification
    Document Analysis and Recognition, 1997., Proceedings of the Fourth International Conference on, Vol. 2 (1997), pp. 661-665 vol.2.
    by R Sabourin, J Drouhard, E Wah
  • On An Offline Signature Verification System
    South African Workshop on Pattern Recognition (1998), pp. 39-43.
    by Ben Herbst, Hanno Coetzer
  • Offline geometric parameters for automatic signature verification using fixed-point arithmetic
    Pattern Analysis and Machine Intelligence, IEEE Transactions on, Vol. 27, No. 6. (2005), pp. 993-997.
  • Off-line signature verification based on geometric feature extraction and neural network classification
    Pattern Recognition, Vol. 30, No. 1. (January 1997), pp. 9-17.
    by Kai Huang, Hong Yan
  • Off-line signature verification using genetically optimized weighted features
    Pattern Recognition, Vol. 32, No. 2. (February 1999), pp. 217-233.
    by V Ramesh, M Murty
  • Signature verification using multiple neural classifiers
    Pattern Recognition, Vol. 30, No. 1. (January 1997), pp. 1-7.
    by Reena Bajaj, Santanu Chaudhury
  • Local correspondence for detecting random forgeries
    Document Analysis and Recognition, 1997., Proceedings of the Fourth International Conference on, Vol. 1 (1997), pp. 319-323 vol.1.
  • Signature Verification: Increasing Performance by a Multi-Stage System
    Pattern Analysis and Applications, Vol. 3 (2000), pp. 169-181.
    by C Sansone, M Vento
  • A comparison of SVM and HMM classifiers in the off-line signature verification
    Pattern Recognition Letters, Vol. 26, No. 9. (1 July 2005), pp. 1377-1385.
    by Edson Justino, Flavio Bortolozzi, Robert Sabourin
  • Off-line signature verification by the tracking of feature and stroke positions
    Pattern Recognition, Vol. 36, No. 1. (January 2003), pp. 91-101.
    by B Fang, C Leung, Y Tang, K Tse, P Kwok, Y Wong
  • Off-Line Signature Verification Using HMMs and Cross-Validation
    IEEE Workshop on Neural Networks for Signal Processing (2000), pp. 859-868.
  • Off-line Signature Verification using Directional PDF and Neural Networks
    International Conference on Pattern Recognition (1992), pp. 321-325.
  • Antiforgery: a novel pseudo-outer product based fuzzy neural network driven signature verification system
    Pattern Recognition Letters, Vol. 23, No. 14. (December 2002), pp. 1795-1816.
    by C Quek, R Zhou
  • Mathematical Modelation of Handwritten Signatures by Conics
    Revista da Sociedade Paranaese de Matematica (1997)
  • Classifiers for dissimilarity-based pattern recognition
    Pattern Recognition, 2000. Proceedings. 15th International Conference on, Vol. 2 (2000), pp. 12-16 vol.2.
    by E Pekalska, R Duin
    posted to dissimilary_representation by lbatista on 2006-07-31 02:43:06 as read along with 1 group LIVIA
  • Selection of features for signature verification using the genetic algorithm
    Computers & Industrial Engineering, Vol. 30, No. 4. (September 1996), pp. 1037-1045.
    by Yang Xuhua, Takeshi Furuhashi, Kenzo Obata, Yoshika Uchikawa
  • ROC Graphs: Notes and Practical Considerations for Researchers
    Machine Learning (2004)
    by T Fawcett
    posted to roc_curve by lbatista on 2006-07-30 03:57:47 as read along with 2 people and 1 group iris_2001 stanley LIVIA
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