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» Structural Inference for Semistructured Data
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ICASSP
2011
IEEE
14 years 6 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
2012
Springer
220views Education» more  CORR 2012»
13 years 11 months ago
Sparse Topical Coding
We present sparse topical coding (STC), a non-probabilistic formulation of topic models for discovering latent representations of large collections of data. Unlike probabilistic t...
Jun Zhu, Eric P. Xing
RECOMB
2002
Springer
16 years 3 months ago
Monotony of surprise and large-scale quest for unusual words
The problem of characterizing and detecting recurrent sequence patterns such as substrings or motifs and related associations or rules is variously pursued in order to compress da...
Alberto Apostolico, Mary Ellen Bock, Stefano Lonar...
139
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CHI
2005
ACM
16 years 3 months ago
Programmatic semantics for natural language interfaces
An important way of making interfaces usable by nonexpert users is to enable the use of natural language input, as in natural language query interfaces to databases, or MUDs and M...
Hugo Liu, Henry Lieberman
CVPR
2010
IEEE
15 years 11 months ago
Disambiguating Visual Relations Using Loop Constraints
Repetitive and ambiguous visual structures in general pose a severe problem in many computer vision applications. Identification of incorrect geometric relations between images s...
Christopher Zach, Manfred Klopschitz, Marc Pollefe...