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12/10/2016
A Character-Word Compositional Neural Language Model for Finnish
Inspired by recent research, we explore ways to model the highly morphol...
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10/25/2016
Gaussian Process Kernels for Popular State-Space Time Series Models
In this paper we investigate a link between state- space models and Gaus...
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06/07/2016
Semi-Supervised Domain Adaptation for Weakly Labeled Semantic Video Object Segmentation
Deep convolutional neural networks (CNNs) have been immensely successful...
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04/07/2015
Bidirectional Recurrent Neural Networks as Generative Models - Reconstructing Gaps in Time Series
Bidirectional recurrent neural networks (RNN) are trained to predict bot...
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07/04/2012