We study the retrieval task that ranks a set of objects for a given query in the pairwise preference learning framework. Recently researchers found out that raw features (e.g. word...
Xi Chen, Bing Bai, Yanjun Qi, Qihang Lin, Jaime G....
In this paper, we restudy the non-convex data factorization problems (regularized or not, unsupervised or supervised), where the optimization is confined in the nonnegative orthan...
s from a concrete to a new abstract level of description [1]. Rises in abstraction level happen regularly in all fields, but the key difference in Alexander's work was that ra...
The most popular way to use probabilistic models in vision is first to extract some descriptors of small image patches or object parts using well-engineered features, and then to...
Without specialized sensor technology or custom, multichip cameras, high dynamic range imaging typically involves time-sequential capture of multiple photographs. The obvious down...
Mushfiqur Rouf, Rafal Mantiuk, Wolfgang Heidrich, ...