Many XML filtering systems have emerged in recent years identifying XML data that structurally match XPath queries in an efficient way. However, apart from structural matching, it...
We present a method to automatically learn object categories from unlabeled images. Each image is represented by an unordered set of local features, and all sets are embedded into...
— MapReduce has become an effective approach to big data analytics in large cluster systems, where SQL-like queries play important roles to interface between users and systems. H...
This paper investigates the design of a system for recognizing
objects in 3D point clouds of urban environments.
The system is decomposed into four steps: locating, segmenting,
...
Aleksey Golovinskiy, Vladimir G. Kim, Thomas Funkh...
We propose a new method to partition an unlabeled dataset, called Discriminative Context Partitioning (DCP). It is motivated by the idea of splitting the dataset based only on how...