2 results about "Embedding distortion" patented technology

The disclosure relates to methods of generating or modifying a bitstream. These methods comprise obtaining (e.g., generating or receiving) the bitstream, wherein the bitstream contains coded time series data, determining a measure of distortion in relation to a portion of the coded time series data, and embedding distortion metadata into the bitstream, wherein the distortion metadata includes information indicative of the determined measure of distortion. The disclosure further relates to methods of transcoding or decoding such bitstream, as well as corresponding apparatus, programs, and computer-readable storage media.

The present application belongs to the technical field of big data mining, and particularly relates to a knowledge perception recommendation method of multiple hyperbolic spaces. The present application proposes a network model based on multiple hyperbolic spaces, and designs feature interaction between different hyperbolic spaces, thereby effectively learning data of different distributions. Moreover, because the knowledge perception recommendation method is based on hyperbolic space, it inherits the related advantages of hyperbolic embedding, such as avoiding embedding distortion problems, obtaining more hierarchical embedding results, and the like, which are not possessed by existing knowledge perception recommendation methods based on Euclidean space. The present application breaks through the shackles of the existing knowledge perception recommendation method, which cannot judge the sensitivity of the knowledge attribute of the user to the commodity, integrates hyperbolic distance information into embedding learning, mines the potential hierarchy of the user commodity bipartite graph, and scores the sensitivity of the knowledge attribute of each user to the commodity.