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» Hierarchical approximation and localization
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ICML
2004
IEEE
16 years 5 months ago
Automated hierarchical mixtures of probabilistic principal component analyzers
Many clustering algorithms fail when dealing with high dimensional data. Principal component analysis (PCA) is a popular dimensionality reduction algorithm. However, it assumes a ...
Ting Su, Jennifer G. Dy
TC
2008
15 years 4 months ago
Localized Broadcasting with Guaranteed Delivery and Bounded Transmission Redundancy
The common belief is that localized broadcast algorithms are not able to guarantee both full delivery and a good bound on the number of transmissions. In this paper, we propose the...
Majid Khabbazian, Vijay K. Bhargava
CAD
2008
Springer
15 years 4 months ago
Detecting approximate symmetries of discrete point subsets
Detecting approximate symmetries of parts of a model is important when attempting to determine the geometric design intent of approximate boundary-representation (B-rep) solid mod...
Ming Li, Frank C. Langbein, Ralph R. Martin
GI
2009
Springer
15 years 2 months ago
Gaussian Mixture (GM) Passive Localization using Time Difference of Arrival (TDOA)
: This paper describes the passive emitter localization using Time Difference of Arrival (TDOA) measurements. It investigates various methods for estimating the solution of this no...
Regina Kaune
FGCN
2008
IEEE
240views Communications» more  FGCN 2008»
15 years 10 months ago
Data Compression Algorithm Based on Hierarchical Cluster Model for Sensor Networks
A new distributed algorithm of data ccompression based on hierarchical cluster model for sensor networks is proposed, the basic ideas of which are as follows, firstly the whole se...
Tongsen Wang, Lei Wang, Zhijun Xie, Ronghua Yang