441 search results - page 54 / 89 » Sparse Recovery Using Sparse Random Matrices |
ICASSP
2008
IEEE
15 years 4 months ago
2008
IEEE
Compressive Sensing (CS) uses a relatively small number of non-traditional samples in the form of randomized projections to reconstruct sparse or compressible signals. The Hough t...
NIPS
2004
14 years 11 months ago
2004
In this paper, we explore the use of Random Forests (RFs) in the structured language model (SLM), which uses rich syntactic information in predicting the next word based on words ...
ISCIS
2005
Springer
15 years 3 months ago
2005
Springer
Dense subgraphs of sparse graphs (communities), which appear in most real-world complex networks, play an important role in many contexts. Computing them however is generally expe...
IROS
2007
IEEE
15 years 4 months ago
2007
IEEE
Abstract— We present the Binocular Sparse Feature Segmentation (BSFS) algorithm for vision-based person following with a mobile robot. BSFS uses Lucas-Kanade feature detection an...
WACV
2002
IEEE
15 years 2 months ago
2002
IEEE
In this paper a range synthesis algorithm is proposed as an initial solution to the problem of 3D environment modeling from sparse data. We develop a statistical learning method f...