Searching for "Weighted Random Sampling." – sorted by Relevance.
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Determining Patch Saliency Using Low-Level Context
- …. For recognition, image patches are sampled using a weighted random sampling based on saliency, or using a…
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Sequential Monte Carlo Implementation of the PHD Filter for Multi-target Tracking
- … the PHD using a SMC method; i.e. the PHD is represented by a large set of weighted random samples (or…
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Mercury: Supporting scalable multi-attribute range queries
- … balancing are implemented using novel light-weight sampling mechanisms for uniformly sampling random nodes…
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A Bayesian Analysis of Simulation Algorithms for Inference in Belief Networks,
- … stopping rule for the number of simulations required by logic sampling, randomized approximation schemes…
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UNIVERSITY OF NEWCASTLE UPON TYNE
- … corresponds to weighted random sampling (a specific case of [6]), which in general requires computational…
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Random Sampling from Databases - A Survey
- … to the strata in proportion to the population size of the strata. ffl A weighted random sample is one in which…
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Fixed-Lag Sequential Monte Carlo
- … assume that πn is defined on En . We are � interested in obtaining N (N ≫ 1) weighted random samples W (i…
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Probabilistic Approaches to Phonology
- … for vocabularies of different sizes. Vocabularies constructed by frequency-weighted random sampling of the Celex…
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Capturing Natural Hand Articulation
- … used to approximate a complex probability density. A set of weighted random samples {s (n) , # (n…
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Robust visual tracking by integrating multiple cues based on co-inference learning
- … random samples {(s (n) , π (n) )}, n = 1, . . . , N is properly weighted with respect to the distribution…
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