Sciweavers

1799 search results - page 210 / 360
» Filtered Reinforcement Learning
Sort
View
ICASSP
2010
IEEE
15 years 4 months ago
Large margin filtering for Signal Sequence Labeling
Signal Sequence Labeling consists in predicting a sequence of labels given an observed sequence of samples. A naive way is to filter the signal in order to reduce the noise and t...
Rémi Flamary, Benjamin Labbé, Alain ...
CVPR
2007
IEEE
16 years 6 months ago
Learning Local Image Descriptors
In this paper we study interest point descriptors for image matching and 3D reconstruction. We examine the building blocks of descriptor algorithms and evaluate numerous combinati...
Simon A. J. Winder, Matthew Brown
SIAMJO
2008
104views more  SIAMJO 2008»
15 years 4 months ago
A Minimax Theorem with Applications to Machine Learning, Signal Processing, and Finance
This paper concerns a fractional function of the form xT a/ xT Bx, where B is positive definite. We consider the game of choosing x from a convex set, to maximize the function, an...
Seung-Jean Kim, Stephen P. Boyd
SIGIR
2004
ACM
15 years 9 months ago
A nonparametric hierarchical bayesian framework for information filtering
Information filtering has made considerable progress in recent years.The predominant approaches are content-based methods and collaborative methods. Researchers have largely conc...
Kai Yu, Volker Tresp, Shipeng Yu
ACL
2012
13 years 6 months ago
Using Rejuvenation to Improve Particle Filtering for Bayesian Word Segmentation
We present a novel extension to a recently proposed incremental learning algorithm for the word segmentation problem originally introduced in Goldwater (2006). By adding rejuvenat...
Benjamin Börschinger, Mark Johnson