120 search results - page 16 / 24 » A Recurrent Neural Network that Learns to Count |
86
Voted
ESANN
2000
15 years 8 days ago
2000
A system for the automatic segmentation of fluorescence micrographs is presented. In a first step positions of fluorescent cells are detected by a fast learning neural network, whi...
83
Voted
ICANN
2003
Springer
15 years 4 months ago
2003
Springer
Abstract. An abstract recurrent neural network trained by an unsupervised method is applied to the kinematic control of a robot arm. The network is a novel extension of the Neural ...
ICANN
2007
Springer
15 years 5 months ago
2007
Springer
Abstract. This paper introduces the notion of the variadic neural network (VNN). The inputs to a variadic network are an arbitrary-length list of n-tuples of real numbers, where n ...
NN
2002
Springer
14 years 10 months ago
2002
Springer
Most of source separation methods focus on stationary sources, so higher-order statistics is necessary for successful separation, unless sources are temporally correlated. For non...
95
Voted
NCI
2004
15 years 9 days ago
2004
This paper describes a method for hierarchical reinforcement learning in which high-level policies automatically discover subgoals, and low-level policies learn to specialize for ...