9886 search results - page 2 / 1978 » Learning Compressible Models |
ICML
2007
IEEE
15 years 10 months ago
2007
IEEE
This paper investigates compression of 3D objects in computer graphics using manifold learning. Spectral compression uses the eigenvectors of the graph Laplacian of an object'...
68
Voted
ICPR
2008
IEEE
15 years 10 months ago
2008
IEEE
Double JPEG compression detection is of significance in digital forensics. We propose an effective machine learning based scheme to distinguish between double and single JPEG comp...
ACL
2011
14 years 1 months ago
2011
We learn a joint model of sentence extraction and compression for multi-document summarization. Our model scores candidate summaries according to a combined linear model whose fea...
70
Voted
DCC
2006
IEEE
15 years 9 months ago
2006
IEEE
The use of compression algorithms in machine learning tasks such as clustering and classification has appeared in a variety of fields, sometimes with the promise of reducing probl...
71
Voted
IJCNN
2006
IEEE
15 years 3 months ago
2006
IEEE
– We have developed and tested a novel artificial neural network for the processing of temporal signals. The working of the units (TempUnit) is based on the mechanism of temporal...