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NIPS
2007
15 years 5 months ago
Bayesian Inference for Spiking Neuron Models with a Sparsity Prior
Generalized linear models are the most commonly used tools to describe the stimulus selectivity of sensory neurons. Here we present a Bayesian treatment of such models. Using the ...
Sebastian Gerwinn, Jakob Macke, Matthias Seeger, M...
RSS
2007
159views Robotics» more  RSS 2007»
15 years 5 months ago
Gaussian Beam Processes: A Nonparametric Bayesian Measurement Model for Range Finders
— In probabilistic mobile robotics, the development of measurement models plays a crucial role as it directly influences the efficiency and the robustness of the robot’s perf...
Christian Plagemann, Kristian Kersting, Patrick Pf...
AAAI
2006
15 years 5 months ago
Perspective Taking: An Organizing Principle for Learning in Human-Robot Interaction
The ability to interpret demonstrations from the perspective of the teacher plays a critical role in human learning. Robotic systems that aim to learn effectively from human teach...
Matt Berlin, Jesse Gray, Andrea Lockerd Thomaz, Cy...
EACL
2006
ACL Anthology
15 years 5 months ago
Constraints on Non-Projective Dependency Parsing
We investigate a series of graph-theoretic constraints on non-projective dependency parsing and their effect on expressivity, i.e. whether they allow naturally occurring syntactic...
Joakim Nivre
GRAPHICSINTERFACE
2004
15 years 5 months ago
Object Pointing: A Complement to Bitmap Pointing in GUIs
Pointing, a cornerstone of our graphical user interfaces, has been conceptualized and implemented so far as the act of selecting pixels in bitmap displays. We show that the curren...
Yves Guiard, Renaud Blanch, Michel Beaudouin-Lafon
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