97 search results - page 12 / 20 » Herding dynamical weights to learn |
114
Voted
DSMML
2004
Springer
15 years 7 months ago
2004
Springer
Abstract. Gaussian process prior systems generally consist of noisy measurements of samples of the putatively Gaussian process of interest, where the samples serve to constrain the...
125
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IROS
2008
IEEE
15 years 8 months ago
2008
IEEE
— A long cherished goal in artificial intelligence has been the ability to endow a robot with the capacity to learn and generalize skills from watching a human teacher. Such an ...
112
Voted
ISCAS
2002
IEEE
15 years 6 months ago
2002
IEEE
We have implemented an aspect of learning and memory in the nervous system using analog electronics. Using a simple synaptic circuit we realize networks with Hebbian type adaptati...
139
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ICML
2000
IEEE
16 years 2 months ago
2000
IEEE
Humanoid robots are high-dimensional movement systems for which analytical system identification and control methods are insufficient due to unknown nonlinearities in the system s...
116
Voted
PAMI
2010
15 years 9 days ago
2010
In this paper, we address the tasks of detecting, segmenting, parsing, and matching deformable objects. We use a novel probabilistic object model that we call a hierarchical defor...