27 search results - page 4 / 6 » Semi-Supervised Learning -- A Statistical Physics Approach |
ITS
2010
Springer
13 years 9 months ago
2010
Springer
General-purpose ontologies (e.g. WordNet) are convenient, but they are not always scientifically valid. We draw on techniques from semantic class learning to improve the scientific...
CAIP
1999
Springer
1999
Springer
EigenHistograms: Using Low Dimensional Models of Color Distribution for Real Time Object Recognition
13 years 12 months ago
Abstract. Distribution of object colors has been used in computer vision for recognition and indexing. Most of the recent approaches to this problem have been focused on de ning op...
TSP
2010
13 years 2 months ago
2010
We consider the problem of learning Gaussian multiresolution (MR) models in which data are only available at the finest scale and the coarser, hidden variables serve both to captu...
ECML
2005
Springer
14 years 1 months ago
2005
Springer
Abstract. Motivated by the analogies to statistical physics, the deterministic annealing (DA) method has successfully been demonstrated in a variety of application. In this paper, ...
CIDR
2009
13 years 8 months ago
2009
R is a numerical computing environment that is widely popular for statistical data analysis. Like many such environments, R performs poorly for large datasets whose sizes exceed t...