40 search results - page 4 / 8 » Synaptic learning models of map separation in the hippocampu... |
105
Voted
ALT
2006
Springer
15 years 7 months ago
2006
Springer
This paper presents a novel paradigm for learning languages that consists of mapping strings to an appropriate high-dimensional feature space and learning a separating hyperplane i...
101
Voted
JMLR
2012
13 years 1 months ago
2012
We transform the outputs of each hidden neuron in a multi-layer perceptron network to have zero output and zero slope on average, and use separate shortcut connections to model th...
175
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Publication
This paper presents a multi-output regression model for crowd counting in public scenes. Existing counting by regression methods either learn a single model for global counting, or...
95
Voted
JMLR
2010
14 years 5 months ago
2010
In this paper we integrate two essential processes, discretization of continuous data and learning of a model that explains them, towards fully computational machine learning from...
ICASSP
2011
IEEE
14 years 2 months ago
2011
IEEE
We consider the task of under-determined reverberant audio source separation. We model the contribution of each source to all mixture channels in the time-frequency domain as a ze...