Sentence examples for relative appearance from inspiring English sources
Cai et al. [55] propose context information including spatio-temporal context and relative appearance context for non-overlapping inter-camera human tracking.
The spatio-temporal context indicates a way of collecting samples for discriminative appearance learning, and the relative appearance context using RGB color histograms and histogram of gradients as appearance features models inter-object appearance similarities for people walking in proximity.
Generalizing the IILs or 35° inclined cell walls as plastic instabilities or strain localizations, the observed differences in their relative appearance at different deformation conditions and/or texture components could be explained.
To test for blur after-effects, we instead used a relative judgment in which observers adapted to both a blurred and sharpened image in two separate fields and then compared the relative appearance of a pair of test images shown within the same fields.
For example, one cannot deduce the relative appearance times of the Firmicutes and the Halobacteria.
Firstly, the Relative Appearance Ratio (RAR) is calculated for each octamer (see methods).
Although the rejection of the T-axiom seems odd at first, owing to the factive nature of knowledge, Sadrzadeh is not working with knowledge and belief, but with their weaker relatives, appearance (things appear to α to be thus and so) and information (α receives the possible false information) from which knowledge and belief may be gotten respectively if certain extra conditions are imposed.
We first compare their relative appearances using real data.
A work is an observer-relative appearance or Erscheinung, experienced as such.
By contrast, his relatives' appearances have little do with promotional calculations and are made at his request.
We thus chose to define the weight or 'distance' between p and q as: where where d S is a normalized spatial distance, d A is a normalized relative-appearance distance and α∈[0, 1] is a free parameter (to be selected by the algorithm) that weights the contributions of these two aspects of coherence.
