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» Gaussian Process Models of Spatial Aggregation Algorithms
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ICASSP
2008
IEEE
14 years 2 months ago
Second-order near-field localization with automatic paring operation
Most exiting array signal processing techniques for bearing estimation are strongly relied on the far-field assumption. When the sources are located close to the array, these tec...
Rémy Boyer, José Picheral
ICML
2008
IEEE
14 years 8 months ago
Sparse multiscale gaussian process regression
Most existing sparse Gaussian process (g.p.) models seek computational advantages by basing their computations on a set of m basis functions that are the covariance function of th...
Bernhard Schölkopf, Christian Walder, Kwang I...
KDD
2009
ACM
152views Data Mining» more  KDD 2009»
14 years 8 months ago
A multi-relational approach to spatial classification
Spatial classification is the task of learning models to predict class labels based on the features of entities as well as the spatial relationships to other entities and their fe...
Richard Frank, Martin Ester, Arno Knobbe
ICIP
2005
IEEE
14 years 9 months ago
Signal estimation using multiple-wavelet representations and Gaussian models
Signal processing using over-complete representations has been an active research field in recent years. In this article, we study the following two related problems: (1) given tw...
Guang Deng
ICDE
2007
IEEE
145views Database» more  ICDE 2007»
14 years 1 months ago
A Data Model for Moving Objects Supporting Aggregation
Moving objects databases (MOD) have been receiving increasing attention from the database community in recent years, mainly due to the wide variety of applications that technology...
Bart Kuijpers, Alejandro A. Vaisman