1412 search results - page 5 / 283 » Selectivity Estimation using Probabilistic Models |
LION
2009
Springer
15 years 4 months ago
2009
Springer
Abstract. Probabilistic Neural Networks (PNNs) constitute a promising methodology for classification and prediction tasks. Their performance depends heavily on several factors, su...
ICRA
2006
IEEE
15 years 3 months ago
2006
IEEE
Abstract— The localization capability is central to basic navigation tasks and motivates development of various visual navigation systems. In this paper we describe a two stage a...
86
Voted
PAMI
2007
14 years 9 months ago
2007
—In this paper, we present a new model for deformations of shapes. A pseudolikelihood is based on the statistical distribution of the gradient vector field of the gray level. The...
BMCBI
2007
14 years 9 months ago
2007
Background: Causal networks based on the vector autoregressive (VAR) process are a promising statistical tool for modeling regulatory interactions in a cell. However, learning the...
87
Voted
ISRR
2001
Springer
15 years 1 months ago
2001
Springer
Most of current machine vision systems suffer from a lack of flexibility to account for the high variability of unstructured environments. Here, as the state of the world evolves ...