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NIPS
2001
13 years 11 months ago
Global Coordination of Local Linear Models
High dimensional data that lies on or near a low dimensional manifold can be described by a collection of local linear models. Such a description, however, does not provide a glob...
Sam T. Roweis, Lawrence K. Saul, Geoffrey E. Hinto...
IJCAI
1989
13 years 11 months ago
Layering Predictions: Flexible Use of Dialog Expectation in Speech Recognition
entional user behavior, we need a principled mannerAbstract for relaxing contextual constraints when they are violated.When computer speech recognition is used for problem In order...
Sheryl R. Young, Wayne H. Ward, Alexander G. Haupt...
MVA
1990
123views Computer Vision» more  MVA 1990»
13 years 11 months ago
Randomized Hough Transform (RHT) in Engineering Drawing Vectorization System
Abstract When the data is processed from the digitized drawThis paper presents how the recently presented Randomized IIough Transform (RHT) method can be used as a part of an engin...
Pekka Kultanen, Erkki Oja, Lei Xu
BMVC
2010
13 years 8 months ago
Iterative Hyperplane Merging: A Framework for Manifold Learning
We present a framework for the reduction of dimensionality of a data set via manifold learning. Using the building blocks of local hyperplanes we show how a global manifold can be...
Harry Strange, Reyer Zwiggelaar
INFOCOM
2011
IEEE
13 years 1 months ago
Space-time tradeoff in regular expression matching with semi-deterministic finite automata
Abstract—Regular expression matching (REM) with nondeterministic finite automata (NFA) can be computationally expensive when a large number of patterns are matched concurrently....
Yi-Hua E. Yang, Viktor K. Prasanna