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» Hashing Methods for Temporal Data
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AAAI
2010
13 years 9 months ago
Integrated Systems for Inducing Spatio-Temporal Process Models
Quantitative modeling plays a key role in the natural sciences, and systems that address the task of inductive process modeling can assist researchers in explaining their data. In...
Chunki Park, Will Bridewell, Pat Langley
ICASSP
2011
IEEE
12 years 11 months ago
A non-negative approach to semi-supervised separation of speech from noise with the use of temporal dynamics
We present a semi-supervised source separation methodology to denoise speech by modeling speech as one source and noise as the other source. We model speech using the recently pro...
Gautham J. Mysore, Paris Smaragdis
ICPR
2006
IEEE
14 years 8 months ago
A maximum margin discriminative learning algorithm for temporal signals
We propose a new maximum margin discriminative learning algorithm here for classification of temporal signals. It is superior to conventional HMM in the sense that it does not nee...
Wenjie Xu, Jiankang Wu, Zhiyong Huang
TSP
2008
134views more  TSP 2008»
13 years 7 months ago
MIMO Instantaneous Blind Identification Based on Second-Order Temporal Structure
Blind identification is of paramount importance for well-known signal processing problems such as Blind Signal Separation and Direction Of Arrival (DOA) estimation. This paper pre...
Jakob van de Laar, Marc Moonen, Piet C. W. Sommen
IV
2009
IEEE
141views Visualization» more  IV 2009»
14 years 2 months ago
VioNeS - Visual Support for the Analysis of the Next Sub-volume Method
Computational simulation is an established method to gain insight into cellular processes. As the resulting data sets are usually large and complex, visualization can play a signi...
Andrea Unger, Enrico Gutzeit, Matthias Jeschke, He...