Spectral methods for nonlinear dimensionality reduction (NLDR) impose a neighborhood graph on point data and compute eigenfunctions of a quadratic form generated from the graph. W...
The analysis of blood flow patterns and the interaction between salient topological flow features and cardiovascular structure plays an important role in the study of cardiovascul...
This paper discusses the problem of learning language from unprocessed text and speech signals, concentrating on the problem of learning a lexicon. In particular, it argues for a ...
A new class of data structures called "bumptrees" is described. These structures are useful for efficiently implementing a number of neural network related operations. A...
Type Run Description MAP Official A UTen English ASR 0.0031 A UTt hs-t2-nm Top-2 concepts from t hs graph method with neighbor multiply 0.0137 A UTwiki-t2-nm Top-2 Wikipedia conc...
Robin Aly, Claudia Hauff, Willemijn Heeren, Djoerd...