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» Testing Properties of Sparse Images
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APGV
2006
ACM
15 years 7 months ago
Stevens dot patterns for 2D flow visualization
This paper describes a new technique to visualize 2D flow fields with a sparse collection of dots. A cognitive model proposed by Kent Stevens describes how spatially local con...
Laura Tateosian, Brent M. Dennis, Christopher G. H...
ICA
2010
Springer
15 years 2 months ago
Recovering Spikes from Noisy Neuronal Calcium Signals via Structured Sparse Approximation
Two-photon calcium imaging is an emerging experimental technique that enables the study of information processing within neural circuits in vivo. While the spatial resolution of th...
Eva L. Dyer, Marco F. Duarte, Don H. Johnson, Rich...
JMLR
2008
209views more  JMLR 2008»
15 years 1 months ago
Bayesian Inference and Optimal Design for the Sparse Linear Model
The linear model with sparsity-favouring prior on the coefficients has important applications in many different domains. In machine learning, most methods to date search for maxim...
Matthias W. Seeger
NIPS
2007
15 years 3 months ago
Sparse Feature Learning for Deep Belief Networks
Unsupervised learning algorithms aim to discover the structure hidden in the data, and to learn representations that are more suitable as input to a supervised machine than the ra...
Marc'Aurelio Ranzato, Y-Lan Boureau, Yann LeCun
CVPR
2011
IEEE
14 years 9 months ago
Sparse Reconstruction Cost for Abnormal Event Detection
We propose to detect abnormal events via a sparse reconstruction over the normal bases. Given an over-complete normal basis set (e.g., an image sequence or a collection of local s...
Yang Cong, Junsong Yuan, Ji Liu