If motion estimation can choose the most suitable algorithm according to the changing characteristics of input image signals, we can get benefits, which improve quality and perfor...
Efficient index construction in multidimensional data spaces is important for many knowledge discovery algorithms, because construction times typically must be amortized by perform...
: Network resource provisioning techniques need to perform both inter-path and intra-path load balancing to maximize the network’s resource usage efficiency while supporting end...
Identifying the appropriate kernel function/matrix for a given dataset is essential to all kernel-based learning techniques. A variety of kernel learning algorithms have been prop...
Keyphrases are useful for a variety of purposes, including summarizing, indexing, labeling, categorizing, clustering, highlighting, browsing, and searching. The task of automatic ...