Recently, several manifold learning algorithms have been proposed, such as ISOMAP (Tenenbaum et al., 2000), Locally Linear Embedding (Roweis & Saul, 2000), Laplacian Eigenmap ...
Abstract. This paper presents a mathematization of the philosophical doctrine of judgments as an extension of the mathematization of the philosophical doctrine of concepts develope...
—Among all blind channel estimation problems, subspace-based algorithms are attractive due to its fastconverging nature. It primarily exploits the orthogonality structure of the ...
The advent of tagging and folksonomies for organizing shared resources on the social Web brought promising opportunities to help communities of users capture their knowledge. Howe...
Multidimensional scaling (MDS) is a collection of data analytic techniques for constructing configurations of points from dissimilarity information about interpoint distances. Cla...