441 search results - page 74 / 89 » Sparse Recovery Using Sparse Random Matrices |
NIPS
2007
13 years 11 months ago
2007
Rare category detection is an open challenge for active learning, especially in the de-novo case (no labeled examples), but of significant practical importance for data mining - ...
ICML
2010
IEEE
13 years 11 months ago
2010
IEEE
Deep Belief Networks (DBNs) are hierarchical generative models which have been used successfully to model high dimensional visual data. However, they are not robust to common vari...
IJCV
2008
13 years 9 months ago
2008
This paper shows (i) improvements over state-of-the-art local feature recognition systems, (ii) how to formulate principled models for automatic local feature selection in object c...
ICASSP
2011
IEEE
13 years 1 months ago
2011
IEEE
This paper explores a novel setting for compressed sensing (CS) in which the sampling trajectory length is a critical bottleneck and must be minimized subject to constraints on th...
ICASSP
2008
IEEE
14 years 4 months ago
2008
IEEE
In the case of multicomponent AM-FM signals, the idealized representation which consists of weighted trajectories on the time-frequency (TF) plane, is intrinsically sparse. Recent...