We present an image-based approach to infer 3D structure parameters using a probabilistic "shape+structure" model. The 3D shape of an object class is represented by sets...
Kristen Grauman, Gregory Shakhnarovich, Trevor Dar...
Systems of argumentation or ’computational dialectic’ are emerging as a powerful means of structuring inter-agent communication in multi-agent systems. Individual systems of c...
Hidden Markov Models (HMMs) are an useful and widely utilized approach to the modeling of data sequences. One of the problems related to this technique is finding the optimal stru...
Cytoplasmic post-transcriptional modification of mRNA transcripts in the form of polyadenylated (poly(A)) tails plays a key role in their translational control. The timing and degr...
Eric C. Rouchka, Xiangping Wang, James H. Graham, ...
— A paramount challenge in probabilistic databases is the scalable computation of confidences of tuples in query results. This paper introduces an efficient secondary-storage o...