691 search results - page 35 / 139 » Packing Small Vectors |
TSP
2008
14 years 9 months ago
2008
The rapid developing area of compressed sensing suggests that a sparse vector lying in a high dimensional space can be accurately and efficiently recovered from only a small set of...
KDD
2000
ACM
15 years 1 months ago
2000
ACM
The problem of extracting a minimal number of data points from a large dataset, in order to generate a support vector machine (SVM) classifier, is formulated as a concave minimiza...
DCC
1995
IEEE
15 years 1 months ago
1995
IEEE
— Many image compression techniques require the quantization of multiple vector sources with significantly different distributions. With vector quantization (VQ), these sources ...
ICCHP
2004
Springer
15 years 3 months ago
2004
Springer
Graphical information is very important in common information publishing. For visually impaired users this information is usually not accessible. Scalable Vector Graphics, a recomm...
ECCV
2006
Springer
15 years 11 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...