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ICASSP
2010
IEEE
15 years 6 months ago
Hierarchical Gaussian Mixture Model
Gaussian mixture models (GMMs) are a convenient and essential tool for the estimation of probability density functions. Although GMMs are used in many research domains from image ...
Vincent Garcia, Frank Nielsen, Richard Nock
ISSA
2008
15 years 8 months ago
A User Centric Model for Online Identity and Access Management
The problem today is that users are expected to remember multiple user names and passwords for different domains when accessing the Internet. Identity management solutions seek to...
Matthew Deas, Stephen Flowerday
ATAL
2010
Springer
15 years 6 months ago
PAC-MDP learning with knowledge-based admissible models
PAC-MDP algorithms approach the exploration-exploitation problem of reinforcement learning agents in an effective way which guarantees that with high probability, the algorithm pe...
Marek Grzes, Daniel Kudenko
ICA
2012
Springer
14 years 2 months ago
Audio Imputation Using the Non-negative Hidden Markov Model
Abstract. Missing data in corrupted audio recordings poses a challenging problem for audio signal processing. In this paper we present an approach that allows us to estimate missin...
Jinyu Han, Gautham J. Mysore, Bryan Pardo
HICSS
2006
IEEE
114views Biometrics» more  HICSS 2006»
16 years 20 days ago
A Preliminary Model for Generating Experience Knowledge Based Artifacts
Inspections provide an effective way of acquiring and reusing experience knowledge. Several details, in both the inspection processes and the inspection event itself, can be found...
Jouni Kokkoniemi