Results 1 to 10 of about 727,489 (238)
Random projection tree similarity metric for SpectralNet
SpectralNet is a graph clustering method that uses neural network to find an embedding that separates the data. So far it was only used with k-nn graphs, which are usually constructed using a distance metric (e.g., Euclidean distance).
Mashaan Alshammari +3 more
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Joint Geometry and Color Projection-Based Point Cloud Quality Metric
Point cloud coding solutions have been recently standardized to address the needs of multiple application scenarios. The design and assessment of point cloud coding methods require reliable objective quality metrics to evaluate the level of degradation ...
Alireza Javaheri +3 more
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Distribution probability‐based self‐adaption metric learning for person re‐identification
Person re‐identification addresses the problem of pedestrian image matching in a non‐overlapped surveillance network. Traditional metric learning methods try to learn a fixed pedestrian images matching metric model.
Yutao Ren, Zhangcan Huang
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Projectively related metrics, Weyl nullity, and metric projectively invariant equations [PDF]
Minor adjustments and typographical corrections.
Gover, A. Rod, Matveev, Vladimir S.
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On the Stability and Acceleration of Projection Algorithms
The focus of this paper is the presentation of a new type of mapping called projection Jungck zn- Suzuki generalized and also defining new algorithms of various types (one-step and two-step algorithms) (projection Jungck-normal N algorithm, projection ...
Zena H. Maibed, Noor N. Salem
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Metrics for accessibility on the Vamolà project [PDF]
How far are the Web sites from accessibility? Such a question implies a measure and, before, metrics or a set of metrics to quantitatively describe distances or closeness to one or more aspects of inclusion. Quantitative evaluations can effectively guide the improvement of sites quality and of skills which are necessary along the content authoring ...
Mirri S. +3 more
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The generalized projection methods in countably normed spaces
Let E be a Banach space with dual space E ∗ $E^{*}$ , and let K be a nonempty, closed, and convex subset of E. We generalize the concept of generalized projection operator “ Π K : E → K $\Pi _{K}: E \rightarrow K$ ” from uniformly convex uniformly smooth
Sarah Tawfeek +2 more
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Coupled Projection Transfer Metric Learning for Cross-Session Emotion Recognition from EEG
Distribution discrepancies between different sessions greatly degenerate the performance of video-evoked electroencephalogram (EEG) emotion recognition.
Fangyao Shen +4 more
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An approximation of solutions of variational inequalities
We use a Mann-type iteration scheme and the metric projection operator (the nearest-point projection operator) to approximate the solutions of variational inequalities in uniformly convex and uniformly smooth Banach spaces.
B. E. Rhoades, Jinlu Li
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Continuous metric projections [PDF]
An example is given of a reflexive, rotund Banach space whose dual space is not Frechet differentiable such that every metric projection onto closed subspaces is norm continuous. This example shows that several published conjectures on necessary and sufficient conditions for a reflexive, rotund Banach space to have norm continuous metric projections ...
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