35 search results - page 1 / 7 » Fast normal vector compression with bounded error |
SGP
2007
14 years 1 months ago
2007
We present two methods for lossy compression of normal vectors through quantization using "base" polyhedra. The first revisits subdivision-based quantization. The second...
JMLR
2008
13 years 11 months ago
2008
This paper develops bounds on out-of-sample error rates for support vector machines (SVMs). The bounds are based on the numbers of support vectors in the SVMs rather than on VC di...
CIARP
2004
Springer
14 years 2 months ago
2004
Springer
In this paper, we derive lower and upper bounds for the probability of error for a linear classifier, where the random vectors representing the underlying classes obey the multivar...
ECCV
2006
Springer
15 years 1 months ago
2006
Springer
i Integration of surface normal vectors is a vital component in many shape reconstruction algorithms that require integrating surface normals to produce their final outputs, the de...
CORR
2011
Springer
13 years 6 months ago
2011
Springer
The estimation of a sparse vector in the linear model is a fundamental problem in signal processing, statistics, and compressive sensing. This paper establishes a lower bound on t...