63 search results - page 11 / 13 » Principal component analysis in decomposable Gaussian graphi... |
ICIP
2005
IEEE
14 years 18 days ago
2005
IEEE
In this paper, we propose a novel technique for modelbased recognition of complex object motion trajectories using Hidden Markov Models (HMM). We build our models on Principal Com...
WSCG
2004
13 years 8 months ago
2004
A major drawback of shopping for clothes on-line is that the customer cannot try on clothes and see if they fit or suit them. One solution is to display clothing on an avatar, a 3...
ICCV
2009
IEEE
13 years 4 months ago
2009
IEEE
With the popularity of "bag of visual terms" representations of images, many text indexing techniques have been applied in large-scale image retrieval systems. However, ...
ACMACE
2008
ACM
13 years 9 months ago
2008
ACM
Dimensionality reduction is a statistical tool commonly used to map high-dimensional data into lower a dimensionality. The transformed data is typically more suitable for regressi...
UAI
2008
13 years 8 months ago
2008
An important task in data analysis is the discovery of causal relationships between observed variables. For continuous-valued data, linear acyclic causal models are commonly used ...