1582 search results - page 144 / 317 » On sparse signal representations |
179
click to vote
MICCAI
2010
Springer
15 years 5 months ago
2010
Springer
The use of machine learning tools is gaining popularity in neuroimaging, as it provides a sensitive assessment of the information conveyed by brain images. In particular, finding ...
178
click to vote
APLAS
2007
ACM
15 years 10 months ago
2007
ACM
Abstract. Given the combinatorial nature of cellular signalling pathways, where biological agents can bind and modify each other in a large number of ways, concurrent or agent-base...
167
click to vote
CORR
2008
Springer
15 years 6 months ago
2008
Springer
In this note, we address the theoretical properties of p, a class of compressed sensing decoders that rely on p minimization with p (0, 1) to recover estimates of sparse and compr...
213
click to vote
CONCUR
2007
Springer
16 years 25 days ago
2007
Springer
Abstract. Modelling is becoming a necessity in studying biological signalling pathways, because the combinatorial complexity of such systems rapidly overwhelms intuitive and qualit...
169
click to vote
CORR
2010
Springer
15 years 6 months ago
2010
Springer
Compressed sensing allows perfect recovery of sparse signals (or signals sparse in some basis) using only a small number of random measurements. Existing results in compressed sens...