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» Structure learning of Bayesian networks using constraints
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ICONIP
2010
15 years 2 months ago
Emergence of Highly Nonrandom Functional Synaptic Connectivity Through STDP
Abstract. We investigated the network topology organized through spike-timingdependent plasticity (STDP) using pair- and triad-connectivity patterns, considering di erence of excit...
Hideyuki Kato, Tohru Ikeguchi
IUI
2004
ACM
15 years 10 months ago
Sheepdog: learning procedures for technical support
Technical support procedures are typically very complex. Users often have trouble following printed instructions describing how to perform these procedures, and these instructions...
Tessa A. Lau, Lawrence D. Bergman, Vittorio Castel...
ICCV
2011
IEEE
14 years 5 months ago
Parsing Video Events with Goal inference and Intent Prediction
In this paper, we present an event parsing algorithm based on Stochastic Context Sensitive Grammar (SCSG) for understanding events, inferring the goal of agents, and predicting th...
Mingtao Pei, School of Computer Science, Yunde Jia...
VR
2003
IEEE
163views Virtual Reality» more  VR 2003»
15 years 10 months ago
Ribbon Networks for Modeling Navigable Paths of Autonomous Agents in Virtual Urban Environments
This paper presents a real-time database modeling complex networks of intersecting roads and walkways in urban virtual environments. The database represents information about the ...
Peter Willemsen, Joseph K. Kearney, Hongling Wang
ISCAPDCS
2004
15 years 6 months ago
Pushmepullyou: The Reality of Interaction with Shared Objects in Networked Walk-in Displays
This paper investigates the reality of shared manipulation of objects between users in distributed walkin displays and presents solutions to address the effects of constraints of ...
David J. Roberts, Oliver Otto, Robin Wolff