Thus, the locality feature over a market overlay allows a lack of resources in a given market to be compensated quickly by any other market with similar resources, whenever these are close to each other.
In general, undesirable matched results appear mainly due to the following three aspects: (1) the locality of local features, (2) the quantization errors and (3) the phenomenon of burstiness.
The many localized features, in some localities, are signs that the basement surface still not reached yet.
The possible physical properties of enriched nodes in consecutive-interpolation procedure (CIP) would be thought as non-locality feature, which could improve the accuracy of results and eliminate the non-smooth stresses among inter-elements.
Multi-resolution analysis approaches the issue of characterizing spectro-temporal locality outside the model, while the CNN approach itself exploits local features.
This method is aimed for any small dataset which contains only one or two training images per subject, namely Locality oriented feature extraction for small training datasets (LOFESS).
This paper presented the method Locality constrained feature representation for the disguised face recognition based on a small training set (LOFESS), which contains only one or two images per subject.
This paper concentrates on the problem of building an occlusion-excluded feature space for recognizing partial occluded faces, such as by wearing eyeglasses or scarves, based on a small gallery set, namely Locality oriented feature extraction for small training datasets (LOFESS).
Although 70% of pregnant mothers came from the rural localities, with features of a traditional lifestyle, they all came to the RDH for delivery where we performed careful measurement and recording of the size of their baby.
These graph edges carry non-negative weights according to the locality of the features.
