436 search results - page 42 / 88 » Image Reconstruction by Linear Programming |
122
Voted
ECCV
2010
Springer
15 years 1 months ago
2010
Springer
Sturm-Triggs iteration is a standard method for solving the projective factorization problem. Like other iterative algorithms, this method suffers from some common drawbacks such ...
100
Voted
ICIP
2009
IEEE
16 years 3 months ago
2009
IEEE
In this paper, following the Compressed Sensing (CS) paradigm, we study the problem of recovering sparse or compressible signals from uniformly quantized measurements. We present ...
109
Voted
BIRTHDAY
2009
Springer
15 years 9 months ago
2009
Springer
Super-resolution is the art of creating nice high-resolution raster images from given low-resolution raster images. Since “nice” is not a well-defined term in mathematics and ...
136
Voted
ICML
2009
IEEE
16 years 3 months ago
2009
IEEE
Sparse coding--that is, modelling data vectors as sparse linear combinations of basis elements--is widely used in machine learning, neuroscience, signal processing, and statistics...
128
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BMCBI
2010
15 years 2 months ago
2010
Background: High-throughput methods for detecting protein-protein interactions enable us to obtain large interaction networks, and also allow us to computationally identify the as...