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ICANN
2010
Springer
13 years 6 months ago
Dynamic Shape Learning and Forgetting
In this paper, we present a system capable of dynamically learning shapes in a way that also allows for the dynamic deletion of shapes already learned. It uses a self-balancing Bin...
Nikolaos Tsapanos, Anastasios Tefas, Ioannis Pitas
IPPS
1997
IEEE
13 years 12 months ago
d-Dimensional Range Search on Multicomputers
The range tree is a fundamental data structure for multidimensional point sets, and as such, is central in a wide range of geometric anddatabaseapplications. Inthis paper, we desc...
Afonso Ferreira, Claire Kenyon, Andrew Rau-Chaplin...
MDM
2009
Springer
149views Communications» more  MDM 2009»
14 years 2 months ago
ETC: Energy-Driven Tree Construction in Wireless Sensor Networks
Continuous queries in Wireless Sensor Networks (WSNs) are founded on the premise of Query Routing Tree structures (denoted as T), which provide sensors with a path to the querying...
Panayiotis Andreou, A. Pamboris, Demetrios Zeinali...
ALENEX
2001
215views Algorithms» more  ALENEX 2001»
13 years 9 months ago
An Empirical Study of a New Approach to Nearest Neighbor Searching
In nearest neighbor searching we are given a set of n data points in real d-dimensional space, d , and the problem is to preprocess these points into a data structure, so that give...
Songrit Maneewongvatana, David M. Mount
AAAI
2011
12 years 7 months ago
Incorporating Boosted Regression Trees into Ecological Latent Variable Models
Important ecological phenomena are often observed indirectly. Consequently, probabilistic latent variable models provide an important tool, because they can include explicit model...
Rebecca A. Hutchinson, Li-Ping Liu, Thomas G. Diet...