Searching for "On Subspace Distance." – sorted by Relevance.
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Robust Factorization for the Affine Camera: Analysis and Comparison
- previous work on the use of subspace distances for the outlier detection problem in video sequences under
- Cited by 1 (0 self) – Add To MetaCart
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Nonlinear Shape Statistics via Kernel Spaces
- both the projection distance and the within-subspace distance in a high-dimensional feature space
- Cited by 6 (2 self) – Add To MetaCart
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Visual Data Mining
- -like graphs. Furthermore, the user is enabled to select subspaces of distance space and select new distance
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face recognition with 3D model-based synthesis
- by minimizing the distance between the subspace of a test subject and that of each subject in the database. Only
- Cited by 6 (1 self) – Add To MetaCart
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Subspace Classifier in the Hilbert Space
- ). In training, a subspace is fit to training samples so that the sum of the squared distances between
- Cited by 3 (1 self) – Add To MetaCart
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Subspace Classifier in Reproducing Kernel Hilbert Space
- is fit to training samples so that the sum of the squared distances between the samples and the subspace
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Dining Activity Analysis Using a Hidden Markov Model
- first propose a strategy to analyze the subspace of an individual person, and measure distances between
- Cited by 1 (1 self) – Add To MetaCart
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A Statistical Assessment of Subject Factors in the PCA Recognition of Human Faces
- into the resulting subspace. Distance between pairs of images of the same subject is used as the response variable. A
- Cited by 12 (1 self) – Add To MetaCart
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An "isomorphic" Version Of Dvoretzky's Theorem, II
- bound on the minimal distance of a k-dimensional subspace of an arbitrary n-dimensional normed space
- Cited by 3 (1 self) – Add To MetaCart
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A.: Finding hierarchies of subspace clusters
- of an object o ∈Dinto a subspace S ⊆Ais denoted by π S(o). The distance function is denoted by dist. We assume
- Cited by 3 (3 self) – Add To MetaCart

