29 search results - page 1 / 6 » Representing Edge Models via Local Principal Component Analy... |
ECCV
2002
Springer
14 years 6 months ago
2002
Springer
Edge detection depends not only upon the assumed model of what an edge is, but also on how this model is represented. The problem of how to represent the edge model is typically ne...
COMPLIFE
2006
Springer
13 years 8 months ago
2006
Springer
We present a method for simultaneous dimension reduction and metastability analysis of high dimensional time series. The approach is based on the combination of hidden Markov model...
NIPS
2008
13 years 6 months ago
2008
Recently, supervised dimensionality reduction has been gaining attention, owing to the realization that data labels are often available and indicate important underlying structure...
ICCV
2011
IEEE
12 years 4 months ago
2011
IEEE
We propose a novel localized principal component analysis (PCA) based curve evolution approach which evolves the segmenting curve semi-locally within various target regions (divis...
IPMI
2007
Springer
14 years 5 months ago
2007
Springer
Automated medical image segmentation is a challenging task that benefits from the use of effective image appearance models. In this paper, we compare appearance models at three reg...