60 search results - page 4 / 12 » A Mapping Between Classifiers and Training Conditions for WS... |
ECCV
2010
Springer
13 years 8 months ago
2010
Springer
In this paper we present a framework for semantic scene parsing and object recognition based on dense depth maps. Five viewindependent 3D features that vary with object class are e...
ICCV
2005
IEEE
14 years 9 months ago
2005
IEEE
We propose a novel method for identifying road vehicles between two non-overlapping cameras. The problem is formulated as a same-different classification problem: probability of t...
CIKM
2008
Springer
13 years 9 months ago
2008
Springer
Learning a sequence classifier means learning to predict a sequence of output tags based on a set of input data items. For example, recognizing that a handwritten word is "ca...
VLSISP
2010
13 years 5 months ago
2010
Abstract In case of insufficient data samples in highdimensional classification problems, sparse scatters of samples tend to have many ‘holes’—regions that have few or no nea...
BMCBI
2007
13 years 7 months ago
2007
Background: Since the single nucleotide polymorphisms (SNPs) are genetic variations which determine the difference between any two unrelated individuals, the SNPs can be used to i...