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» Asymptotics of the Entropy Rate for a Hidden Markov Process
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DAGM
2010
Springer
13 years 5 months ago
Classification of Swimming Microorganisms Motion Patterns in 4D Digital In-Line Holography Data
Digital in-line holography is a 3D microscopy technique which has gotten an increasing amount of attention over the last few years in the fields of microbiology, medicine and physi...
Laura Leal-Taixé, Matthias Heydt, Sebastian...
ICML
2008
IEEE
14 years 8 months ago
An HDP-HMM for systems with state persistence
The hierarchical Dirichlet process hidden Markov model (HDP-HMM) is a flexible, nonparametric model which allows state spaces of unknown size to be learned from data. We demonstra...
Emily B. Fox, Erik B. Sudderth, Michael I. Jordan,...
IUI
2012
ACM
12 years 3 months ago
Airwriting: demonstrating mobile text input by 3D-space handwriting
We demonstrate our airwriting interface for mobile handsfree text entry. The interface enables a user to input text into a computer by writing in the air like on an imaginary blac...
Christoph Amma, Tanja Schultz
ICASSP
2011
IEEE
12 years 11 months ago
Convergence results in distributed Kalman filtering
Abstract—The paper studies the convergence properties of the estimation error processes in distributed Kalman filtering for potentially unstable linear dynamical systems. In par...
Soummya Kar, Shuguang Cui, H. Vincent Poor, Jos&ea...
ICASSP
2011
IEEE
12 years 11 months ago
Exemplar-based Sparse Representation phone identification features
Exemplar-based techniques, such as k-nearest neighbors (kNNs) and Sparse Representations (SRs), can be used to model a test sample from a few training points in a dictionary set. ...
Tara N. Sainath, David Nahamoo, Bhuvana Ramabhadra...