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ICML
1999
IEEE
16 years 1 months ago
Monte Carlo Hidden Markov Models: Learning Non-Parametric Models of Partially Observable Stochastic Processes
We present a learning algorithm for non-parametric hidden Markov models with continuous state and observation spaces. All necessary probability densities are approximated using sa...
Sebastian Thrun, John Langford, Dieter Fox
184
Voted
SIGMOD
2007
ACM
112views Database» more  SIGMOD 2007»
16 years 26 days ago
A random walk approach to sampling hidden databases
A large part of the data on the World Wide Web is hidden behind form-like interfaces. These interfaces interact with a hidden backend database to provide answers to user queries. ...
Arjun Dasgupta, Gautam Das, Heikki Mannila
95
Voted
CVPR
2010
IEEE
15 years 8 months ago
On Growth and Formlets: Sparse Multi-Scale Coding of Planar Shape
This paper presents a sparse representation of 2D planar shape through the composition of warping functions, termed formlets, localized in scale and space. Each formlet subjects t...
Timothy Oleskiw, James Elder, Gabriel Peyr
WISTP
2010
Springer
15 years 7 months ago
A Probabilistic Diffusion Scheme for Anomaly Detection on Smartphones
Widespread use and general purpose computing capabilities of next generation smartphones make them the next big targets of malicious software (malware) and security attacks. Given ...
Tansu Alpcan, Christian Bauckhage, Aubrey-Derrick ...
120
Voted
ICASSP
2009
IEEE
15 years 7 months ago
Independent component analysis for noisy speech recognition
Independent component analysis (ICA) is not only popular for blind source separation but also for unsupervised learning when the observations can be decomposed into some independe...
Hsin-Lung Hsieh, Jen-Tzung Chien, Koichi Shinoda, ...