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95
Voted
IPPS
2006
IEEE
15 years 4 months ago
Design and analysis of a multi-dimensional data sampling service for large scale data analysis applications
Sampling is a widely used technique to increase efficiency in database and data mining applications operating on large dataset. In this paper we present a scalable sampling imple...
Xi Zhang, Tahsin M. Kurç, Joel H. Saltz, Sr...
86
Voted
GECCO
2007
Springer
153views Optimization» more  GECCO 2007»
15 years 4 months ago
Parallel genetic algorithm: assessment of performance in multidimensional scaling
Visualization of multidimensional data by means of Multidimensional Scaling (MDS) is a popular technique of exploratory data analysis widely usable, e.g. in analysis of bio-medica...
Antanas Zilinskas, Julius Zilinskas
85
Voted
ECCV
1996
Springer
16 years 4 days ago
Object Recognition Using Multidimensional Receptive Field Histograms
This paper presents a technique to determine the identity of objects in a scene using histograms of the responses of a vector of local linear neighborhood operators (receptive elds...
Bernt Schiele, James L. Crowley
80
Voted
INFOCOM
2008
IEEE
15 years 4 months ago
Connectivity-Based Localization of Large Scale Sensor Networks with Complex Shape
—We study the problem of localizing a large sensor network having a complex shape, possibly with holes. A major challenge with respect to such networks is to figure out the corr...
Sol Lederer, Yue Wang, Jie Gao
95
Voted
ICASSP
2010
IEEE
14 years 10 months ago
On distance reconstruction for sensor network localization
Sensor localization typically exploits distance measurements to infer sensor positions with respect to known anchor nodes. Missing or unreliable measurements for specific nodes c...
Phillip A. Regalia, Jing Wang