357 search results - page 41 / 72 » Non-linear Mapping for Feature Extraction |
EDUTAINMENT
2006
Springer
15 years 1 months ago
2006
Springer
In this paper we describe a framework for generating 3D paper-cutting effects on mesh models. The framework involves the construction of model defined paper-cutting patterns, extr...
ICIP
2010
IEEE
14 years 7 months ago
2010
IEEE
Motion saliency is the key component for the video saliency model, and attracts great research interest. However, there is few universal predictor of motion saliency. In this pape...
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CVPR
2001
IEEE
15 years 11 months ago
2001
IEEE
To utilize CT or MRI images for computer aided diagnosis applications, robust features that represent 3-D image data need to be constructed and subsequently used by a classificati...
NIPS
2008
14 years 11 months ago
2008
Kernel Principal Component Analysis (KPCA) is a popular generalization of linear PCA that allows non-linear feature extraction. In KPCA, data in the input space is mapped to highe...
CVPR
2006
IEEE
15 years 11 months ago
2006
IEEE
Integration of goal-driven, top-down attention and image-driven, bottom-up attention is crucial for visual search. Yet, previous research has mostly focused on models that are pur...