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AAAI
2008
15 years 8 months ago
Hybrid Markov Logic Networks
Markov logic networks (MLNs) combine first-order logic and Markov networks, allowing us to handle the complexity and uncertainty of real-world problems in a single consistent fram...
Jue Wang, Pedro Domingos
IANDC
2008
112views more  IANDC 2008»
15 years 6 months ago
Inclusion dynamics hybrid automata
Hybrid systems are dynamical systems with the ability to describe mixed discretecontinuous evolution of a wide range of systems. Consequently, at first glance, hybrid systems appe...
Alberto Casagrande, Carla Piazza, Alberto Policrit...
PAMI
2010
112views more  PAMI 2010»
15 years 4 months ago
Polynomial Time Algorithms for Ratio Regions and a Variant of Normalized Cut
—In partitioning, clustering, and grouping problems, a typical goal is to group together similar objects, or pixels in the case of image processing. At the same time, another goa...
Dorit S. Hochbaum
CVPR
2012
IEEE
13 years 9 months ago
What is optimized in tight convex relaxations for multi-label problems?
In this work we present a unified view on Markov random fields and recently proposed continuous tight convex relaxations for multi-label assignment in the image plane. These rel...
Christopher Zach, Christian Hane, Marc Pollefeys
CHI
2009
ACM
16 years 7 months ago
An intuitive model of perceptual grouping for HCI design
Understanding and exploiting the abilities of the human visual system is an important part of the design of usable user interfaces and information visualizations. Good design enab...
Ruth Rosenholtz, Nathaniel R. Twarog, Nadja Schink...