35 search results - page 3 / 7 » Fast normal vector compression with bounded error |
NIPS
1992
13 years 6 months ago
1992
Vector Quantization is useful for data compression. Competitive Learning which minimizes reconstruction error is an appropriate algorithm for vector quantization of unlabelled dat...
CAD
2007
Springer
13 years 5 months ago
2007
Springer
This paper proposes an error analysis of reparametrization based approaches for planar curve offsetting. The approximation error in Hausdorff distance is computed. The error is bo...
PR
2007
13 years 4 months ago
2007
Tuning SVM hyperparameters is an important step in achieving a high-performance learning machine. It is usually done by minimizing an estimate of generalization error based on the...
ICPR
2002
IEEE
13 years 10 months ago
2002
IEEE
This paper presents a fast mesh simplification algorithm that combined the half-edge data structure with modified quadric error metric (QEM). When half-edge structure is used, the...
CISS
2008
IEEE
13 years 11 months ago
2008
IEEE
Abstract—We develop neurally plausible local competitive algorithms (LCAs) for reconstructing compressively sensed images. Reconstruction requires solving a sparse approximation ...