1787 search results - page 111 / 358 » Approximation Techniques for Spatial Data |
JCNS
2010
13 years 8 months ago
2010
State space methods have proven indispensable in neural data analysis. However, common methods for performing inference in state-space models with non-Gaussian observations rely o...
MOBIDE
2010
ACM
13 years 10 months ago
2010
ACM
A sensor's data loss or corruption, aka sensor data missing, is a common phenomenon in modern wireless sensor networks. It is more severe for multi-hop sensor network (MSN) a...
TKDE
2011
13 years 5 months ago
2011
—In reality, spatial objects (e.g., hotels) not only have spatial locations but also have quality attributes (e.g., price, star). An object p is said to dominate another one p , ...
SDM
2007
SIAM
13 years 11 months ago
2007
SIAM
This paper presents a unified view of a number of dimension reduction techniques under the common framework of tensors. Specifically, it is established that PCA, and the recentl...
3DPVT
2002
IEEE
14 years 3 months ago
2002
IEEE
Techniques are presented to progressively approximate and compress in a lossless manner two-colored (i.e. binary) 3D objects (as well as objects of arbitrary dimensionality). The ...