Exact(5)
Unlike the current methods, we first employ an improved manifold ranking algorithm in the sketch-based 3D model retrieval stage, which achieves higher accuracy.
The Manifold Ranking algorithm [20] was proposed aiming at ranking the objects with respect to the intrinsic data distribution.
Recently, based on a graph-based manifold ranking method, Yang et al. [39] detected saliency of the image elements by ranking the similarity to background and foreground queries.
Xue et al. proposed an effective visual object saliency detection model via RGB and depth cues with mutually guided manifold ranking and obtained the final result by fusing RGB and depth saliency maps [21].
Zhou et al. proposed a manifold ranking method, which ranks the data with respect to the intrinsic manifold structure collectively revealed by the given data (Zhou et al., 2004).
Similar(55)
Based on this graph, we improve the manifold-ranking algorithm to extract issue-bearing sentences.
A novel keyword propagation method is proposed for image retrieval based on a recently developed manifold-ranking algorithm.
Forget ranking.
annual ranking.
"Forced ranking.
We find lower bounds for the rate of convergence of optimal cubature formulas on sets of differentiable functions on compact homogeneous manifolds of rank I or two-point homogeneous spaces.
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