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SIAMIS
2010
378views more  SIAMIS 2010»
13 years 11 days ago
Global Interactions in Random Field Models: A Potential Function Ensuring Connectedness
Markov random field (MRF) models, including conditional random field models, are popular in computer vision. However, in order to be computationally tractable, they are limited to ...
Sebastian Nowozin, Christoph H. Lampert
SAC
2005
ACM
13 years 11 months ago
Discovering parametric clusters in social small-world graphs
We present a strategy for analyzing large, social small-world graphs, such as those formed by human networks. Our approach brings together ideas from a number of different resear...
Jonathan McPherson, Kwan-Liu Ma, Michael Ogawa
NECO
2007
150views more  NECO 2007»
13 years 5 months ago
Reinforcement Learning, Spike-Time-Dependent Plasticity, and the BCM Rule
Learning agents, whether natural or artificial, must update their internal parameters in order to improve their behavior over time. In reinforcement learning, this plasticity is ...
Dorit Baras, Ron Meir
ICRA
2005
IEEE
142views Robotics» more  ICRA 2005»
13 years 11 months ago
Omnidirectional 3D Modeling on a Mobile Robot using Graph Cuts
— For a mobile robot it is a natural task to build a 3D model of its environment. Such a model is not only useful for planning robot actions but also to provide a remote human su...
Sven Fleck, Florian Busch, Peter Biber, Henrik And...
PERCOM
2010
ACM
13 years 4 months ago
Sensor.Network: An open data exchange for the web of things
Abstract—Tiny, wireless, sensors embedded in a large number of Internet-capable devices–smart phones, cameras, cars, toys, medical instruments, home appliances and energy meter...
Vipul Gupta, Arshan Poursohi, Poornaprajna Udupi