— Two trailers in this wealthy beach town stand as testament to an increasingly intractable problem for localities across the country: where to let sex offenders live after prison.
To address this problem, a locality-constrained and spatially regularized (LCSR) coding is proposed by considering local spatial context of an image into the usual coding strategies which preserves locality constraints both in the feature space and spatial domain of the image [61].
Second, they have prompted a critical reconsideration, based on the discussion of smeared observables with compact support, of the problem of locality at the individual level.
More children would be afflicted by learning disabilities and other neurological problems, leaving localities to foot the bill for treatment programs.
To tackle the tag locality problem, one may employ local image features instead of holistic image features to describe the visual contents of a certain tag.
Thus, implicit image representation is nontrivial for tackling the tag locality problem in large-scale datasets.
In this paper, we view the data locality problem from a network perspective.
We solve this problem by interpreting locality sensitive hashing as a means for data clustering.
Therefore, strabismus related to pathological myopia is not an uncommon problem in our locality.
In addition, this problem has historically transcended localities, administrations and schools of policing.
