Non-linear Generative Embeddings for Kernels on Latent Variable Models Anna Carli 1 , Manuele Bicego 1,2 , Sisto Baldo 1 , Vittorio Murino 1,2 1 Dept. of Computer Science, University of Verona, Strada le Grazie 15 – 37 - Markov kernel - Document - PDFSEARCH.IO

First Page	Meta Content
	Non-linear Generative Embeddings for Kernels on Latent Variable Models Anna Carli 1 , Manuele Bicego 1,2 , Sisto Baldo 1 , Vittorio Murino 1,2 1 Dept. of Computer Science, University of Verona, Strada le Grazie 15 – 37 Add to Reading List Document Date: 2011-10-29 18:01:16 Open Document File Size: 156,45 KB Share Result on Facebook City HMM / New York / / Company Neural Information Processing Systems / Neural Networks / Bayesian Networks / MIT Press / McGraw-Hill New York / / Country Jordan / / Currency USD / / / Facility Cambridge University / University of Verona / / IndustryTerm inner product / inner products / cartesian product / probability products / basic tool / / Organization Cambridge University / University of Verona / Engineering Department / MIT / Pattern Recognition and Artiﬁcial Intelligence / European Union / Pattern Analysis and Machine Intelligence / / Person M. Bicego / V / Fisher Kernel / Sisto Baldo / / Position Fisher / representative / / ProgrammingLanguage K / / PublishedMedium IEEE Transactions on Pattern Analysis and Machine Intelligence / Machine Learning / Journal of Machine Learning Research / / Technology speech recognition / Bioinformatics / Machine Learning / html / gesture recognition / / URL http / SocialTag Machine learning Fisher kernel Information retrieval Kernel Hidden Markov model Support vector machine Linear map Linux kernel Pattern recognition Statistics

Non-linear Generative Embeddings for Kernels on Latent Variable Models Anna Carli 1 , Manuele Bicego 1,2 , Sisto Baldo 1 , Vittorio Murino 1,2 1 Dept. of Computer Science, University of Verona, Strada le Grazie 15 – 37Add to Reading List