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» Universal Sparse Modeling
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127
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RECSYS
2010
ACM
15 years 4 months ago
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Since the development of the comparably simple neighborhood-based methods in the 1990s, a plethora of techniques has been developed to improve various aspects of collaborative fil...
Fatih Gedikli, Dietmar Jannach
IJON
2006
189views more  IJON 2006»
15 years 3 months ago
Storing and restoring visual input with collaborative rank coding and associative memory
Associative memory in cortical circuits has been held as a major mechanism for content-addressable memory. Hebbian synapses implement associative memory efficiently when storing s...
Martin Rehn, Friedrich T. Sommer
120
Voted
SIAMSC
2008
113views more  SIAMSC 2008»
15 years 3 months ago
Limited Data X-Ray Tomography Using Nonlinear Evolution Equations
A novel approach to the X-ray tomography problem with sparse projection data is proposed. Non-negativity of the X-ray attenuation coefficient is enforced by modelling it as max{(x)...
Ville Kolehmainen, Matti Lassas, Samuli Siltanen
CDC
2010
IEEE
154views Control Systems» more  CDC 2010»
14 years 11 months ago
Concentration of measure inequalities for compressive Toeplitz matrices with applications to detection and system identification
In this paper, we derive concentration of measure inequalities for compressive Toeplitz matrices (having fewer rows than columns) with entries drawn from an independent and identic...
Borhan Molazem Sanandaji, Tyrone L. Vincent, Micha...
JCNS
2010
90views more  JCNS 2010»
14 years 10 months ago
Fast Kalman filtering on quasilinear dendritic trees
Optimal filtering of noisy voltage signals on dendritic trees is a key problem in computational cellular neuroscience. However, the state variable in this problem -- the vector of...
Liam Paninski