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» MUSETTE: a framework for knowledge capture from experience
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CVPR
2005
IEEE
15 years 11 months ago
Robust L1 Norm Factorization in the Presence of Outliers and Missing Data by Alternative Convex Programming
Matrix factorization has many applications in computer vision. Singular Value Decomposition (SVD) is the standard algorithm for factorization. When there are outliers and missing ...
Qifa Ke, Takeo Kanade
CVPR
2007
IEEE
15 years 11 months ago
OPTIMOL: automatic Online Picture collecTion via Incremental MOdel Learning
A well-built dataset is a necessary starting point for advanced computer vision research. It plays a crucial role in evaluation and provides a continuous challenge to stateof-the-...
Li-Jia Li, Gang Wang, Fei-Fei Li 0002
ICIP
2005
IEEE
15 years 11 months ago
Image denoising in nonlinear scale-spaces: automatic scale selection via cross-validation
Multiscale, i.e. scale-space image analysis is a powerful framework for many image processing tasks. A fundamental issue with such scale-space techniques is the automatic selectio...
George Papandreou, Petros Maragos
DIS
2009
Springer
15 years 4 months ago
Towards an Ontology of Data Mining Investigations
Motivated by the need for unification of the domain of data mining and the demand for formalized representation of outcomes of data mining investigations, we address the task of c...
Pance Panov, Larisa N. Soldatova, Saso Dzeroski
ICASSP
2008
IEEE
15 years 4 months ago
Unsupervised optimal phoneme segmentation: Objectives, algorithm and comparisons
Phoneme segmentation is a fundamental problem in many speech recognition and synthesis studies. Unsupervised phoneme segmentation assumes no knowledge on linguistic contents and a...
Yu Qiao, Naoya Shimomura, Nobuaki Minematsu