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KDD
2004
ACM
210views Data Mining» more  KDD 2004»
16 years 2 months ago
Probabilistic author-topic models for information discovery
We propose a new unsupervised learning technique for extracting information from large text collections. We model documents as if they were generated by a two-stage stochastic pro...
Mark Steyvers, Padhraic Smyth, Michal Rosen-Zvi, T...
AAAI
2011
14 years 1 months ago
An Online Spectral Learning Algorithm for Partially Observable Nonlinear Dynamical Systems
Recently, a number of researchers have proposed spectral algorithms for learning models of dynamical systems—for example, Hidden Markov Models (HMMs), Partially Observable Marko...
Byron Boots, Geoffrey J. Gordon
NEUROSCIENCE
2001
Springer
15 years 6 months ago
Biological Grounding of Recruitment Learning and Vicinal Algorithms in Long-Term Potentiation
Biological networks are capable of gradual learning based on observing a large number of exemplars over time as well as of rapidly memorizing specific events as a result of a sin...
Lokendra Shastri
3DIM
1999
IEEE
15 years 5 months ago
Large Data Sets and Confusing Scenes in 3-D Surface Matching and Recognition
In this paper, we report on recent extensions to a surface matching algorithm based on local 3-D signatures. This algorithm was previously shown to be effective in view registrati...
Owen T. Carmichael, Daniel F. Huber, Martial Heber...
EUROMICRO
2009
IEEE
15 years 8 months ago
Long-Term Planning of Development Efforts by Roadmapping
—Success in the software product business requires timely release of new products and upgrades with proper quality and the right features. For this, a systematic approach for man...
Jarno Vähäniitty, Casper Lassenius, Kris...