We propose a class of graphical models appropriate for structure prediction problems where the model structure is a function of the output structure. Incremental Sigmoid Belief Ne...
So far, lots of prediction structures have been proposed to exploit the temporal and inter-view redundancy of multi-view video. However, none of them can adapt themselves to diffe...
In structured prediction problems, outputs are not confined to binary labels; they are often complex objects such as sequences, trees, or alignments. Support Vector Machine (SVM) ...
Pseudoknots are a frequent RNA structure that assumes essential roles for varied biocatalyst cell's functions. One of the most challenging fields in bioinformatics is the pre...
— There are several types of processes which can be modeled explicitly by recording the interactions between a set of actors over time. In such applications, a common objective i...