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NIPS
2003
13 years 10 months ago
Minimax Embeddings
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...
Matthew Brand
WSCG
2003
167views more  WSCG 2003»
13 years 10 months ago
Vector-valued Image Restoration with Applications to Magnetic Resonance Velocity Imaging
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...
Yin-Heung Pauline Ng, Guang-Zhong Yang
ACL
1996
13 years 10 months ago
Linguistic Structure as Composition and Perturbation
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 ...
Carl de Marcken
NIPS
1990
13 years 10 months ago
Bumptrees for Efficient Function, Constraint and Classification Learning
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...
Stephen M. Omohundro
TRECVID
2007
13 years 10 months ago
The Lowlands team at TRECVID 2007
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...