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IJCNN
2006
IEEE
16 years 12 days ago
A Monte Carlo Sequential Estimation for Point Process Optimum Filtering
— Adaptive filtering is normally utilized to estimate system states or outputs from continuous valued observations, and it is of limited use when the observations are discrete e...
Yiwen Wang 0002, António R. C. Paiva, Jose ...
ICMCS
1995
IEEE
156views Multimedia» more  ICMCS 1995»
15 years 10 months ago
Spatio-Temporal Modeling of Video Data for On-Line Object-Oriented Query Processing
This paper presents a framework for data modeling ntic abstraction of image/video data. The framework is based on spatio-temporalinformation associated with salient objects in an ...
Young Francis Day, Serhan Dagtas, Mitsutoshi Iino,...
DEBU
2010
205views more  DEBU 2010»
15 years 6 months ago
Spatio-Temporal Stream Processing in Microsoft StreamInsight
Microsoft StreamInsight is a platform for developing and deploying streaming applications. StreamInsight embraces a temporal stream model to unify and further enrich query languag...
Mohamed H. Ali, Badrish Chandramouli, Balan Sethu ...

Publication
233views
14 years 5 months ago
Sparse reward processes
We introduce a class of learning problems where the agent is presented with a series of tasks. Intuitively, if there is relation among those tasks, then the information gained duri...
Christos Dimitrakakis
ICASSP
2009
IEEE
16 years 1 months ago
Complex NMF: A new sparse representation for acoustic signals
This paper presents a new sparse representation for acoustic signals which is based on a mixing model defined in the complex-spectrum domain (where additivity holds), and allows ...
Hirokazu Kameoka, Nobutaka Ono, Kunio Kashino, Shi...