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» Inferring Hidden Causal Structure
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TOG
2008
127views more  TOG 2008»
13 years 10 months ago
Hair photobooth: geometric and photometric acquisition of real hairstyles
We accurately capture the shape and appearance of a person's hairstyle. We use triangulation and a sweep with planes of light for the geometry. Multiple projectors and camera...
Sylvain Paris, Will Chang, Oleg I. Kozhushnyan, Wo...
ICASSP
2011
IEEE
13 years 2 months ago
Deconvolution of neuronal signal from hemodynamic response
In this paper we describe a deconvolution technique for obtaining an approximation of the neuronal signal from an observed hemodynamic response in fMRI data. Our approach, based o...
Martin Havlicek, Jirí Jan, Milan Brazdil, V...
CORR
2011
Springer
191views Education» more  CORR 2011»
13 years 6 months ago
A Message-Passing Receiver for BICM-OFDM over Unknown Clustered-Sparse Channels
We propose a factor-graph-based approach to joint channel-estimationand-decoding of bit-interleaved coded orthogonal frequency division multiplexing (BICM-OFDM). In contrast to ex...
Philip Schniter
UAI
2003
14 years 8 days ago
Large-Sample Learning of Bayesian Networks is NP-Hard
In this paper, we provide new complexity results for algorithms that learn discrete-variable Bayesian networks from data. Our results apply whenever the learning algorithm uses a ...
David Maxwell Chickering, Christopher Meek, David ...
BMCBI
2008
116views more  BMCBI 2008»
13 years 11 months ago
IgTM: An algorithm to predict transmembrane domains and topology in proteins
Background: Due to their role of receptors or transporters, membrane proteins play a key role in many important biological functions. In our work we used Grammatical Inference (GI...
Piedachu Peris, Damián López, Marcel...