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» Informative sampling for large unbalanced data sets
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JGS
2010
89views more  JGS 2010»
13 years 2 months ago
Spatial models with spatially lagged dependent variables and incomplete data
The purpose of this paper is to suggest estimators for the parameters of spatial models containing a spatially lagged dependent variable, as well as spatially lagged independent va...
Harry H. Kelejian, Ingmar R. Prucha
CVPR
2008
IEEE
14 years 9 months ago
Semantic-based indexing of fetal anatomies from 3-D ultrasound data using global/semi-local context and sequential sampling
The use of 3-D ultrasound data has several advantages over 2-D ultrasound for fetal biometric measurements, such as considerable decrease in the examination time, possibility of p...
Gustavo Carneiro, Fernando Amat, Bogdan Georgescu,...
NCI
2004
188views Neural Networks» more  NCI 2004»
13 years 9 months ago
Training set optimization in 3D human face recognition by RBF neural networks
In the Neural Networks approach by Radial Basis Function - RBF, the property of interpolation between faces, their variation, and the diversity of faces helps to minimize the outp...
Antonio C. Zimmermann, L. S. Encinas, L. O. Marin,...
PODS
2010
ACM
232views Database» more  PODS 2010»
14 years 22 days ago
Optimal sampling from distributed streams
A fundamental problem in data management is to draw a sample of a large data set, for approximate query answering, selectivity estimation, and query planning. With large, streamin...
Graham Cormode, S. Muthukrishnan, Ke Yi, Qin Zhang
SPIRE
2009
Springer
14 years 6 days ago
Faster Algorithms for Sampling and Counting Biological Sequences
Abstract. A set of sequences S is pairwise bounded if the Hamming distance between any pair of sequences in S is at most 2d. The Consensus Sequence problem aims to discern between ...
Christina Boucher