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Fisher Kernel

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• ARAN, O. and L. AKARUN, 2006. … Two Handed Gestures with Generative, Discriminative and Ensemble Methods Via Fisher Kernels. Lecture Notes in Computer Science. [not cited] (0/year)
• ARAN, O. and L. AKARUN, 2006. … Two Handed Gestures with Generative, Discriminative and Ensemble Methods Via Fisher Kernels. LECTURE NOTES IN COMPUTER SCIENCE. [Cited by 3] (1.38/year)
• BANERJEE, A. and J. GHOSH, Mean Model Clustering. lans.ece.utexas.edu. [not cited] (?/year)
• BEERENWINKEL, T.S.N., Mutagenetic tree Fisher kernel improves prediction of HIV drug resistance from viral genotype. books.nips.cc. [not cited] (?/year)
• CHANDALIA, G. and M.J. BEAL, 2006. Using Fisher Kernels from Topic Models for Dimensionality Reduction. NIPS 2006 Workshop: Novel Applications of Dimensionality …. [Cited by 1] (0.46/year)
• CHEN, J. and Y. WANG, 2007. Exploiting Fisher Kernels in Decoding Severely Noisy Document Images. Document Analysis and Recognition, 2007. ICDAR 2007. Ninth …. [Cited by 1] (0.86/year)
• CHEN, L. and H. MAN, 2003. Combination of Fisher scores and appearance based features for face recognition. Proceedings of the 2003 ACM SIGMM workshop on Biometrics …. [Cited by 1] (0.19/year)
• CHINA, H. and P.R. CHINA, log. SVM-based Text-independent Speaker Verification using Derivative Kernel in the Reference GMM Space. [not cited] (?/year)
• COMPUTATION, N., A New Discriminative Kernel from Probabilistic Models. [not cited] (?/year)
• COMPUTATION, N., 2004. Asymptotic Properties of the Fisher Kernel. Neural Computation. [not cited] (0/year)
• COSTA, F., S. MENCHETTI and P. FRASCONI, 2007. Comparing Sequence Classification Algorithms for Protein Subcellular Localization. Perspectives of Neural-Symbolic Integration. [not cited] (0/year)
• COURSES, E. and T. SURVEYS, 1999. Deriving cluster analytic distance functions from Gaussian mixturemodels. Artificial Neural Networks, 1999. ICANN 99. Ninth …. [not cited] (0/year)
• DENOYER, L. and P. GALLINARI, Using belief networks and Fisher kernels for structured document classification. Knowledge Discovery …. Proceedings of Lecture Notes in Artificial Intelligence. …. [Cited by 2] (?/year)
• DENOYER, L. and P. GALLINARI, 2003. Using Belief Networks and Fisher Kernels for Structured Document Classification. LECTURE NOTES IN COMPUTER SCIENCE. [Cited by 4] (0.77/year)
• DICK, U. and K. KERSTING, 2006. Fisher Kernels for Relational Data. LECTURE NOTES IN COMPUTER SCIENCE. [Cited by 3] (1.38/year)
• DIEKHANS, T.J.M. and D. HAUSSLER, 1999. Using the Fisher Kernel Method to Detect Remote Protein Homologies. i> Proc. Eighth Int'l Conf. Image Analysis and Processing,</ …. [Cited by 1] (0.11/year)
• ELKAN, C., 2005. Deriving TF-IDF as a Fisher Kernel. LECTURE NOTES IN COMPUTER SCIENCE. [Cited by 3] (0.95/year)
• FINE, S., et al., 2001. A hybrid GMM/SVM approach to speaker identification. Acoustics, Speech, and Signal Processing, 2001. Proceedings. …. [Cited by 51] (7.12/year)
• FU, T., Q. HU and G. XU, 2002. Incorporating Probability into Support Vector Machine for Speaker Recognition. International Symposium on Chinese Spoken Language …. [not cited] (0/year)
• GOUTTE, C., et al., 2002. Combining labelled and unlabelled data: a case study on fisher kernels and transductive inference …. International Conference On Computational Linguistics. [Cited by 2] (0.32/year)
• GOUTTE, C., et al., Proc. of the 7èmes Journées internationales Analyse …. Generative vs Discriminative Approaches to Entity Recognition from Label-Deficient Data. [Cited by 2] (?/year)
• GRUBER, C., T. GRUBER and B. SICK, 2006. Online Signature Verification with New Time Series Kernels for Support Vector Machines. LECTURE NOTES IN COMPUTER SCIENCE. [Cited by 2] (0.92/year)
• HARDOON, D., C. SAUNDERS and J. SHAWE-TAYLOR, Using Fisher Kernels and Hidden Markov Models for the Identification of Famous Composers from their …. homepage.mac.com. [not cited] (?/year)
• HAUSSLER, D., Exploiting generative models in discriminative classifiers Tommi S. Jaakkola* MIT Artificial …. books.nips.cc. [not cited] (?/year)
• HO, P.J.M.P.P. and N. VASCONCELOS, 2004. A Kullback-Leibler Divergence Based Kernel for SVM Classification in Multimedia Applications. i> Proc. Advances in Neural Information Processing Systems,< …. [Cited by 81] (19.44/year)
• HOFMANN, T., 2000. Learning the similarity of documents: An information-geometric approach to document retrieval and …. Advances in Neural Information Processing Systems. [Cited by 55] (6.73/year)
• HOLUB, A.D., M. WELLING and P. PERONA, 2005. Combining generative models and fisher kernels for object recognition. ICCV05, I. [Cited by 40] (12.63/year)
• HOVSEPIAN, K., et al., 2005. Support Vector Classifier Approach for Detection of Clustered Volatility in Dynamic Time-Series. New Mexico Tech, Tech. Rep. [Cited by 2] (0.63/year)
• INOKUCHI, R. and S. MIYAMOTO, 2006. Nonparametric Fisher Kernel Using Fuzzy Clustering. LECTURE NOTES IN COMPUTER SCIENCE. [not cited] (0/year)
• INOKUCHI, R.Y.O. and S. MIYAMOTO, 2006. Fisher-like Kernels Using Fuzzy c-Means. Faji Shisutemu Shinpojiumu Koen Ronbunshu (CD-ROM). [not cited] (0/year)
• ITO, T., et al., 2006. Exploring Multiple Communities with Kernel-Based Link Analysis. LECTURE NOTES IN COMPUTER SCIENCE. [Cited by 1] (0.46/year)
• JAAKKOLA, D. and M. DIEKHANS, Haussler (1999). Using the Fisher kernel method to detect remote protein homologies. proceedings of ISMB. [Cited by 2] (?/year)
• JAAKKOLA, T., M. DIEKHANS and D. HAUSSER, Using the fisher kernel to detect remote protein homologies. Proceedings of the 7th International Conference on …. [Cited by 1] (?/year)
• JAAKKOLA, T., M. DIEKHANS and D. HAUSSLER, AAAI Press; Menlo Park, Calif: 1999. Using the Fisher Kernel method to detect remote protein …. Proceedings of the 7th International Conference on …. [Cited by 1] (?/year)
• JAAKKOLA, T., M. DIEKHANS and D. HAUSSLER, 1999. Using the Fisher Kernel Method to Detect Remote Protein Homologies. Proceedings of the Seventh International Conference on …. [Cited by 210] (22.91/year)
• JAAKKOLA, T., M. DIEKHAUS and D. HAUSSLER, 1999. Using the fisher kernel method to detect remote protein homologies. 7th Intell. Sys. Mol. Biol. [Cited by 7] (0.76/year)
• JAAKKOLA, T.S. and D. HAUSSLER, 1999. Exploiting Generative Models in Discriminative Classifiers. ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS. [Cited by 440] (48.00/year)
• JAAKKOLA, T.S., M. DIEKHANS and D. HAUSSLER, Aug. 1999. Using the Fisher kernel method to detect remote protein homologies. Intelligent Systems for Molecular Biology Conference (ISMB' …. [Cited by 1] (?/year)
• JEBARA, T. and R. KONDOR, 2003. Bhattacharyya and Expected Likelihood Kernels. Learning Theory and Kernel Machines: 16th Annual Conference …. [Cited by 35] (6.77/year)
• KAUCHAK, D., R.E. MADSEN and C. ELKAN, Approximating the Dirichlet Compound Multinomial Distribution. imm.dtu.dk. [not cited] (?/year)
• KERSTING, K. and T. GARTNER, 2002. Fisher Kernels and Logical Sequences with an Application to Protein Fold Recognition. Working Notes of the NIPS-2002 Workshop on Machine Learning …. [Cited by 1] (0.16/year)
• KERSTING, K. and T. GARTNER, 2004. Fisher Kernels for Logical Sequences. LECTURE NOTES IN COMPUTER SCIENCE. [Cited by 9] (2.16/year)
• KRISHNAPURAM, B. and L. CARIN, 2002. … vector machines for improved multiaspect target recognition using the Fisher kernel scores of hidden …. Acoustics, Speech, and Signal Processing, 2002. Proceedings. …. [Cited by 3] (0.49/year)
• LEI, Z., Y. YANG and Z. WU, 2006. A Discriminative Method for Speaker Verification Using the Difference Information. Ninth International Conference on Spoken Language Processing. [not cited] (0/year)
• MIKA, S., A.J. SMOLA and B. SCHöLKOPF, lip;. An Improved Training Algorithm for Fisher Kernel Discriminants. Proc. Artifical Intelligence and Statistics, 2001,(AISTATS' &h. [Cited by 8] (?/year)
• MORENO, P., et al., Advances in Neural Information Processing. A Kullback-Leibler Divergence Based Kernel for SVM Classification in Multimedia Applications. [not cited] (?/year)
• MORENO, P., P. HO and N. VASCONCELOS, 2003. A Kullback-Leibler divergence based kernel for svm classfication in multimedia. [not cited] (0/year)
• MORENO, P.J. and P.P. HO, 2003. A New SVM Approach to Speaker Identification and Verification Using Probabilistic Distance Kernels. Eighth European Conference on Speech Communication and …. [Cited by 17] (3.29/year)
• MORENO, P.J. and R. BIFKIN, Using the Fisher Kernel Method for Web Audio Classification [EB/OL]. [Cited by 1] (?/year)
• MORENO, P.J. and R. RIFKIN, Compaq Computer Corporation Cambridge Research Laboratory One Kendall Square, Building 700 Cambridge …. icsi.berkeley.edu. [not cited] (?/year)
• MORENO, P.J. and R. RIFKIN, 2000. Using the Fisher kernel method for Web audio classification. Acoustics, Speech, and Signal Processing, 2000. ICASSP'00. …. [Cited by 50] (6.12/year)
• MUKHERJEE, N., 2002. Speaker recognition using least squares IOHMMs. Multimedia Signal Processing, 2002 IEEE Workshop on. [not cited] (0/year)
• NAGANO, T., M. SUWA and K. ASAI, 2002. Classification of C2H2 Zinc Finger Domains Using Support Vector Machines. GENOME INFORMATICS SERIES. [not cited] (0/year)
• NICOTRA, L., A New Learning System based on the Fisher Kernel for Trees. [not cited] (?/year)
• NICOTRA, L., A. MICHELI and A. STARITA, 2004. Fisher kernel for tree structured data. Neural Networks, 2004. Proceedings. 2004 IEEE International …. [Cited by 5] (1.20/year)
• NICOTRA, L., A. MICHELI and A. STARITA, 2007. Generative Kernels for Gene Function Prediction Through Probabilistic Tree Models of Evolution. LECTURE NOTES IN COMPUTER SCIENCE. [not cited] (0/year)
• NIITSUMA, H., A Trainable Object-Tracking Method using Equivalent Retinotopical Sampling and Fisher Kernel. ist.ksc.kwansei.ac.jp. [not cited] (?/year)
• NIITSUMA, H., 2003. A Trainable Object-Detection Method Using Equivalent Retinotopical Sampling and Fisher Kernel. LECTURE NOTES IN COMPUTER SCIENCE. [not cited] (0/year)
• NOBLE, W.S., 2004. Support vector machine applications in computational biology. Kernel Methods in Computational Biology. [Cited by 71] (17.04/year)
• NYFFENEGGER, M. and J.C. CHAPPELIER, 2006. andEric Gaussier. Revisiting fisher kernels for document similarities. ECML 2006. [Cited by 1] (0.46/year)
• NYFFENEGGER, M., J. CHAPPELIER and E. GAUSSIER, 2006. Revisiting Fisher Kernels for Document Similarities. LECTURE NOTES IN COMPUTER SCIENCE. [not cited] (0/year)
• OLIVER, N., B. SCHOLKOPF and A.J. SMOLA, 2000. Natural regularization in SVMs. Advances in Large Margin Classifiers. [Cited by 7] (0.86/year)
• OSADCHY, M. and D. KEREN, 2006. Incorporating the Boltzmann Prior in Object Detection Using SVM. Proceedings of the 2006 IEEE Computer Society Conference on …. [not cited] (0/year)
• PERRONNIN, F. and C. DANCE, 2007. Fisher Kernels on Visual Vocabularies for Image Categorization. Proceedings of the IEEE Conference on Computer Vision and …. [Cited by 3] (2.57/year)
• SAUDERS, C., J. TALOR and A. VINOKOUROV, 2003. String Kernels, Fisher Kernels and Finite State Automata. Advances in Neural Information Processing Systems 16. [Cited by 2] (0.39/year)
• SAUNDERS, C., J. SHAWE-TAYLOR and A. VINOKOUROV, 2003. String Kernels, Fisher Kernels and Finite State Automata. ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS. [Cited by 26] (5.03/year)
• SHIMODAIRA, H., et al., 2002. Dynamic Time-Alignment Kernel in Support Vector Machine. Advances in Neural Information Processing Systems 14: …. [Cited by 47] (7.62/year)
• SHIMOSAKA, M., et al., 2003. Time Series Action Recognition based on SVM with Fisher Kernel. Nippon Robotto Gakkai Gakujutsu Koenkai Yokoshu (CD-ROM). [not cited] (0/year)
• SHIMOSAKA, M., et al., 2005. Marginalized Bags of Vectors Kernels on Switching Linear Dynamics for Online Action Recognition. Robotics and Automation, 2005. Proceedings of the 2005 IEEE …. [Cited by 1] (0.32/year)
• SING, T. and N. BEERENWINKEL, 2007. Mutagenetic tree Fisher kernel improves prediction of HIV drug resistance from viral genotype. ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS. [Cited by 1] (0.86/year)
• SIOLAS, G., D'Alche-Buc F.(2002). Mixtures of probabilistic pcas and fisher kernels for word and document …. Proc. of the International Conference in Artificial Neural …. [Cited by 1] (?/year)
• SIOLAS, G., F. d'Alche-Buc. Mixtures of probabilistic PCAs and Fisher kernels for word and document modeling. Proc. of ICANN. [Cited by 3] (?/year)
• SIOLAS, G., Florence d'Alch&# 233; Buc. 2002. Mixtures of probabilistic pcas and fisher kernels for word and …. ICANN. [Cited by 1] (?/year)
• SIOLAS, G., 2002. Mixtures of Probabilistic PCAs and Fisher Kernels for Word and Document Modeling. Proceedings of the International Conference on Artificial …. [Cited by 1] (0.16/year)
• SONNENBURG, S. and K.R. MULLER, koji. tsuda@ aist. go. jp, nabe@ first. fraunhofer. de, Gunnar. Raetsch@ anu. edu. au, f sonne, …. [not cited] (?/year)
• SONNENBURG, S., et al., New Methods for Splice Site Recognition-Diploma Thesis. ida.first.fhg.de. [not cited] (?/year)
• SOREN, G.R., A. JAGOTA and K.R. MULLER, 2002. New Methods for Splice Site Recognition. Artificial Neural Networks-ICANN 2002: International …. [not cited] (0/year)
• TAKAMURA, H. and M. OKUMURA, 2004. A comparative study on the use of labeled and unlabeled data for large margin classifiers. Proceedings of the 1st International Joint Conference on …. [Cited by 5] (1.20/year)
• TAKAMURA, H. and M. OKUMURA, 2005. on the Use of Labeled and Unlabeled Data. Natural Language Processing-IJCNLP 2004: First International …. [not cited] (0/year)
• TEMKO, A., E. MONTE and C. NADEU, 2005. Comparison of sequence discriminant support vector machines for acoustic event classification. Proceedings of the International Conference on Acoustics, …. [Cited by 1] (0.32/year)
• TIEYAN, F.U., H.U. QIXIU and X.U. GUANGYOU, INCORPORATING PROBABILITY INTO SUPPORT VECTOR MACHINE FOR SPEAKER RECOGNITION. [not cited] (?/year)
• TIPPING, M.E., 1999. Deriving cluster analytic distance functions from Gaussian mixture models. IEE CONFERENCE PUBLICATION. [Cited by 28] (3.05/year)
• TITOV, I. and J. HENDERSON, Kernels from Probabilistic Models for Multiclass Classification and Reranking with Arbitrary Loss …. [not cited] (?/year)
• TRAVIESO, C.M., et al., 2007. Using Fisher Kernel on 2D-Shape Identification. LECTURE NOTES IN COMPUTER SCIENCE. [not cited] (0/year)
• TSUDA, K. and M. KAWANABE, 2002. The Leave-One-Out Kernel. LECTURE NOTES IN COMPUTER SCIENCE. [Cited by 9] (1.46/year)
• TSUDA, K., 2001. The Fisher Kernel and Beyond.. IEIC Technical Report (Institute of Electronics, Information …. [not cited] (0/year)
• TSUDA, K., et al., 252; ller. 2004. Asymptotic properties of the fisher kernel. Neural Comput. [Cited by 1] (?/year)
• TSUDA, K., et al., 2002. A New Discriminative Kernel from Probabilistic Models. Neural Computation. [Cited by 80] (12.97/year)
• TSUDA, K., et al., 2002. A discriminative Fisher kernel. Neural Computation. [Cited by 1] (0.16/year)
• TSUDA, K., et al., 2004. Asymptotic Properties of the Fisher Kernel. Neural Computation. [Cited by 13] (3.12/year)
• TSUDA, K., T. KIN and K. ASAI, 2002. Marginalized kernels for biological sequences - [PDF] ►berkeley.edu. Bioinformatics. [Cited by 103] (16.70/year)
• VINOKOUROV, A. and M. GIROLAMI, Generative Semantic Kernels for Document Retrieval and Classification. [not cited] (?/year)
• VINOKOUROV, A. and M. GIROLAMI, 2001. Document Classification Employing the Fisher Kernel Derived from Probabilistic Hierarchic Corpus …. Proceedings of ECIR-01, 23rd European Colloquium on …. [Cited by 4] (0.56/year)
• VINOKOUROV, A. and M. GIROLAMI, 2001. Document classification employing the Fisher kernel. Proceedings of the 23rd BCS-IRSG European Colloquium on IR …. [Cited by 4] (0.56/year)
• WAN, V. and S. RENALS, 2002. Evaluation of Kernal Methods for Speaker Verification and Identification. [Cited by 17] (2.76/year)
• WAN, V. and S. RENALS, 2003. SVMSVM: support vector machine speaker verification methodology. Acoustics, Speech, and Signal Processing, 2003. Proceedings. …. [Cited by 16] (3.10/year)
• WAN, V. and S. RENALS, 2003. Support vector machine speaker verification methodology. IEEE International Conference on Acoustic, Speech, and …. [Cited by 2] (0.39/year)
• WAN, V. and S. RENALS, 2005. Speaker verification using sequence discriminant support vector machines. Speech and Audio Processing, IEEE Transactions on. [Cited by 57] (18.00/year)
• WAN, V., 2006. Building Sequence Kernels for Speaker Verification and Word Recognition. Kernel Methods in Bioengineering, Signal and Image …. [not cited] (0/year)
• YANG, S., et al., 2007. Bilinear Analysis for Kernel Selection and Nonlinear Feature Extraction. IEEE TRANSACTIONS ON NEURAL NETWORKS. [Cited by 2] (1.71/year)