ent abstract presents OASIS, an Online Algorithm for Scalable Image Similarity learning that learns a bilinear similarity measure over sparse representations. OASIS is an online du...
Gal Chechik, Varun Sharma, Uri Shalit, Samy Bengio
To achieve highly accurate branch prediction, it is necessary not only to allocate more resources to branch prediction hardware but also to improve the understanding of branch exe...
Most similarity search techniques map the data objects into some high-dimensional feature space. The similarity search then corresponds to a nearest-neighbor search in the feature...
An adaptive user interface relies, to a large extent, upon an adequate user model (e.g., a representationof user-expertise). However, building a user model may be a tedious and ti...
In this paper. we utilize intervals for unknown values in incompleterelational databases.We usetablesto representunknown relations. First, we define three partial tuple types in a...