We introduce the Multi-Structural Database, a new data framework to support efficient analysis of large, complex data sets. An instance of the model consists of a set of data obje...
Ronald Fagin, Ramanathan V. Guha, Ravi Kumar, Jasm...
We present a method for detecting and parsing buildings from unorganized 3D point clouds into a compact, hierarchical representation that is useful for high-level tasks. The input...
Abstract. Utilizing context information—e.g. location, user aspects, or hardware capabilities—enables the presented generic framework to automatically control the selection and...
— In this paper we employ the theory of partially ordered sets to model and analyze a class of decentralized control problems. We show that posets provide a natural way of modeli...
In this paper, we investigate the significance of contextual information in a phoneme recognition system using the hidden Markov model - artificial neural network paradigm. Cont...
Joel Pinto, B. Yegnanarayana, Hynek Hermansky, Mat...