109 search results - page 1 / 22 » Improved Sparse Bump Modeling for Electrophysiological Data |
ICONIP
2008
13 years 5 months ago
2008
Bump modeling is a method used to extract oscillatory bursts in electrophysiological signals, who are most likely to be representative of local synchronies. In this paper we presen...
CORR
2012
Springer
12 years 2 days ago
2012
Springer
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...
DAGM
2009
Springer
13 years 11 months ago
2009
Springer
This paper investigates the benefit of dense stereo for the ROI generation stage of a pedestrian detection system. Dense disparity maps allow an accurate estimation of the camera ...
SDM
2012
SIAM
11 years 6 months ago
2012
SIAM
In this paper, we consider the multi-task sparse learning problem under the assumption that the dimensionality diverges with the sample size. The traditional l1/l2 multi-task lass...
ACL
2012
11 years 6 months ago
2012
We propose a latent variable model to enhance historical analysis of large corpora. This work extends prior work in topic modelling by incorporating metadata, and the interactions...