Tag Archives: manifold learning

A Manifold Learning Approach for Personalizing HRTFs from Anthropometric Features

Posted on April 19, 2016 by Alexandre Ferreira

This research paper presents a new anthropometry-based method to personalize head-related transfer functions (HRTFs) using manifold learning in both azimuth and elevation angles with a single nonlinear regression model. The authors, from Unicamp and Redmond Microsoft Research, propose a graph … Continue reading →

Posted in blog, publications, science | Tagged anthropometric features, audio signal processing, Azimuth, Dinei Florencio, domain-specific nonlinear dimensionality reduction, Felipe Grijalva, head-related transfer functions, HRTF, IEEE/ACM Transactions on Audio Speech and Language Processing, Luiz Martini, manifold learning, manifold learning approach, neighborhood-based reconstruction approach, neural nets, PCA linear reduction, principal component analysis, regression analysis, Siome Goldenstein, spatial audio, speech processing, virtual auditory displays | Leave a comment

Manifold Learning and Spectral Clustering for Image Phylogeny Forests

Posted on February 5, 2016 by Alexandre Ferreira

Taking advantage of data clustering techniques in the multimedia analysis context, the paper entitled “Manifold Learning and Spectral Clustering for Image Phylogeny Forests” describes how to find the image phylogeny forests based on images that inherit content from a single … Continue reading →

Posted in blog, publications, science | Tagged Anderson Rocha, IEEE TIFS, Image Forensics, manifold learning, Marina Oikawa, Multimedia Phylogeny, phylogeny forests, Siome Goldenstein, spectral clustering, Zanoni Dias | Leave a comment

Best paper award finalist at ICIP’2014

Posted on November 13, 2014 by eduardovalle

Prof. Ricardo Torres of RECOD, together with Prof. Daniel Pedronette (RECOD alumni, now at UNESP/Rio Claro) was among the nine finalists for the best paper award at this year’s IEEE International Conference on Image Processing (ICIP’2014) held last month in Paris, … Continue reading →

Posted in awards, publications, science | Tagged cbir, correlation graph, Daniel Pedronette, ICIP, ICIP 2014, image retrieval, manifold learning, Ricardo Torres | Leave a comment

Tag Archives: manifold learning

Manifold Learning and Spectral Clustering for Image Phylogeny Forests

Best paper award finalist at ICIP’2014

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