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» Using Goal-Models to Analyze Variability
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DAGM
2010
Springer
13 years 8 months ago
Gaussian Mixture Modeling with Gaussian Process Latent Variable Models
Density modeling is notoriously difficult for high dimensional data. One approach to the problem is to search for a lower dimensional manifold which captures the main characteristi...
Hannes Nickisch, Carl Edward Rasmussen
PAMI
2002
122views more  PAMI 2002»
13 years 7 months ago
Analytic PCA Construction for Theoretical Analysis of Lighting Variability in Images of a Lambertian Object
We analyze theoretically the subspace best approximating images of a convex Lambertian object taken from the same viewpoint, but under different distant illumination conditions. Si...
Ravi Ramamoorthi
GIS
2008
ACM
14 years 8 months ago
Finding regional co-location patterns for sets of continuous variables in spatial datasets
This paper proposes a novel framework for mining regional colocation patterns with respect to sets of continuous variables in spatial datasets. The goal is to identify regions in ...
Christoph F. Eick, Jean-Philippe Nicot, Rachana Pa...
NIPS
2007
13 years 9 months ago
People Tracking with the Laplacian Eigenmaps Latent Variable Model
Reliably recovering 3D human pose from monocular video requires models that bias the estimates towards typical human poses and motions. We construct priors for people tracking usi...
Zhengdong Lu, Miguel Á. Carreira-Perpi&ntil...
ICDAR
2011
IEEE
12 years 7 months ago
Touching Character Separation in Chinese Handwriting Using Visibility-Based Foreground Analysis
Abstract—In offline handwritten text recognition, the separation of touching characters remains a challenge due to the variability of touching structures. This paper proposes a ...
Liang Xu, Fei Yin, Qiu-Feng Wang, Cheng-Lin Liu