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» Temporal Classes and OWL
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ICASSP
2010
IEEE
15 years 19 days ago
Robust spectro-temporal features based on autoregressive models of Hilbert envelopes
In this paper, we present a robust spectro-temporal feature extraction technique using autoregressive models (AR) of sub-band Hilbert envelopes. AR models of Hilbert envelopes are...
Sriram Ganapathy, Samuel Thomas, Hynek Hermansky
115
Voted
ICANN
2010
Springer
14 years 10 months ago
Dynamics and Function of a CA1 Model of the Hippocampus during Theta and Ripples
The hippocampus is known to be involved in spatial learning in rats. Spatial learning involves the encoding and replay of temporally sequenced spatial information. Temporally seque...
Vassilis Cutsuridis, Michael E. Hasselmo
136
Voted
TASLP
2010
134views more  TASLP 2010»
14 years 7 months ago
Autoregressive Models of Amplitude Modulations in Audio Compression
We present a scalable medium bit-rate wide-band audio coding technique based on frequency domain linear prediction (FDLP). FDLP is an efficient method for representing the long-ter...
Sriram Ganapathy, Petr Motlícek, Hynek Herm...
107
Voted
ICIP
2006
IEEE
16 years 2 months ago
Real Time Lip Motion Analysis for a Person Authentication System using Near Infrared Illumination
In this paper we present an approach for lip motion analysis that can be used in conjunction with a person authentication system based on face recognition, to avoid attacks on the...
Faisal Shafait, Ralph Kricke, Islam Shdaifat, Rolf...
ICPR
2004
IEEE
16 years 1 months ago
Principal Component Analysis for Online Handwritten Character Recognition
In this paper, Principal Component Analysis (PCA) is applied to the problem of Online Handwritten Character Recognition in the Tamil script. The input is a temporally ordered sequ...
A. G. Ramakrishnan, Sriganesh Madhvanath, V. Deepu