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» Linear dynamic filtering with noisy input and output
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NCA
2002
IEEE
13 years 7 months ago
The Construction of Smooth Models using Irregular Embeddings Determined by a Gamma Test Analysis
One of the key problems in forming a smooth model from input-output data is the determination of which input variables are relevant in predicting a given output. In this paper we ...
Alban P. M. Tsui, Antonia J. Jones, A. Guedes de O...
ECCV
2010
Springer
14 years 15 days ago
Guided Image Filtering
Abstract. In this paper, we propose a novel type of explicit image filter - guided filter. Derived from a local linear model, the guided filter generates the filtering output b...
IVC
2006
187views more  IVC 2006»
13 years 7 months ago
Dynamics of facial expression extracted automatically from video
We present a systematic comparison of machine learning methods applied to the problem of fully automatic recognition of facial expressions, including AdaBoost, support vector mach...
Gwen Littlewort, Marian Stewart Bartlett, Ian R. F...
TSP
2010
13 years 2 months ago
A nondata-aided SNR estimation technique for multilevel modulations exploiting signal cyclostationarity
Signal-to-noise ratio (SNR) estimators of linear modulation schemes usually operate at one sample per symbol at the matched filter output. In this paper we propose a new method for...
Jaume Riba, Javier Villares, Gregori Vázque...
AICT
2009
IEEE
132views Communications» more  AICT 2009»
14 years 14 days ago
Chaotic Digital Encoding for 2D Trellis-Coded Modulation
—In this paper, nonlinear digital filters with finite precision are analyzed as recursive systematic convolutional (RSC) encoders. An infinite impulse response (IIR) digital filt...
Calin Vladeanu, Safwan El Assad, Jean-Claude Carla...