Multiview Point Cloud Kernels for Semisupervised Learning
1 November 2009
Lecture Notes on multiview point cloud regularization (MVPCR), a framework that unifies and generalizes several semisupervised kernel methods that are based on data-dependent regularization in reproducing kernel Hilbert spaces. Special cases of MVPCR include coregularized least squares (CoRLS), manifold regularization (MR), and graph-based SSL.
Resources for DSP Hardware Design
1 November 2009
"Best of the Web" focuses on web resources that are useful for understanding the features of digital signal processor (DSP) devices and using DSPs to…
Read moreFrom Lagrange to Shannon and Back: Another Look at Sampling
1 October 2009
Classical digital signal processing tells us the tale of a continuous-time primeval signal, of its brutal sampling, and of the magic sinc…
Read moreWeb Resources on Bioinformatics and Computational Biology
1 October 2009
The “Best of the Web” column in the IEEE Signal Processing Magazine presents online resources related to bioinformatics and computational biology…
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