1983
DOI: 10.1007/bfb0062107
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On angles between subspaces of a finite dimensional inner product space

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Cited by 85 publications
(59 citation statements)
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“…We adopt a greedy strategy to find the optimal solution, initializing the key frame list with all frames in the original sequence and then incrementally decreasing it by one until the difference between the original PCA subspace and the new PCA subspace spanned by the remaining frames exceeds a user-specified threshold ε. The difference between the two PCA subspaces is measured by principal angle [Wedin 1983], and is experimentally set to 0.4. The details of our analysis algorithm are described in Algorithm 1.…”
Section: Optimizationmentioning
confidence: 99%
“…We adopt a greedy strategy to find the optimal solution, initializing the key frame list with all frames in the original sequence and then incrementally decreasing it by one until the difference between the original PCA subspace and the new PCA subspace spanned by the remaining frames exceeds a user-specified threshold ε. The difference between the two PCA subspaces is measured by principal angle [Wedin 1983], and is experimentally set to 0.4. The details of our analysis algorithm are described in Algorithm 1.…”
Section: Optimizationmentioning
confidence: 99%
“…In this section we give the background information on the angles between two finite dimensional subspaces of a Hilbert space as given in [3,12,17]. Basic results on generalized inverses of (unbounded) operators defined between two Hilbert spaces will be presented as well.…”
Section: The Generalized Inverse and Angle Between The Subspacesmentioning
confidence: 99%
“…While this notion of angle is less well known, it is nevertheless entirely standard (see, e.g., [33,26,17]). …”
Section: Integration Over Fibresmentioning
confidence: 99%
“…Remark 5 There is a considerable literature on how to compute the angle between two subspaces (see, e.g., [33,26,17]). If we write {∇f 1 , .…”
Section: Integration Over Fibresmentioning
confidence: 99%