Abstract Recognizing 3D part instances from a point cloud is crucial for structure and scene understanding. Several learning-based approaches use semantic segmentation instance center prediction as training tasks fail to further exploit the inherent relationship between shape semantics instances. In this paper, we present new method segmentation. Our exploits fuse nonlocal features, such predic...

In recent years, we have seen increased interest in applying machine learning to system problems. For example, there has been work on improve query optimization, indexing, storage layouts, scheduling, log-structured merge trees, sorting, compression, and sketches, among many other data management tasks. Arguably, the ideas behind these techniques are similar: is used model and/or workload order...

We identify a notion of reducibility between predicates, called instance reducibility, which commonly appears in reverse constructive mathematics. The can be generally used to compare and classify various principles studied mathematics (formal Church's thesis, Brouwer's Continuity principle Fan theorem, Excluded middle, Limited principle, Function choice, Markov's etc.). show that the degrees f...

We consider the problem of efficiently estimating size join a collection preprocessed relational tables from perspective instance optimality analysis. The running time optimal algorithms is comparable to minimum needed verify correctness solution. Previously, were only known when was small (as one component their linear in size). give an algorithm for all instances, including large, by removing...