84 search results - page 17 / 17 » Gradient-Based Methods for Sparse Recovery |
JMLR
2010
12 years 11 months ago
2010
Methods based on 1-relaxation, such as basis pursuit and the Lasso, are very popular for sparse regression in high dimensions. The conditions for success of these methods are now ...
PODS
2009
ACM
14 years 5 months ago
2009
ACM
The problem of finding heavy hitters and approximating the frequencies of items is at the heart of many problems in data stream analysis. It has been observed that several propose...
SIGGRAPH
1996
ACM
13 years 9 months ago
1996
ACM
We present a new approach for modeling and rendering existing architectural scenes from a sparse set of still photographs. Our modeling approach, which combines both geometry-base...
CIMAGING
2009
13 years 6 months ago
2009
Nonlinear image reconstruction based upon sparse representations of images has recently received widespread attention with the emerging framework of compressed sensing (CS). This ...