18 citations · 30 across the 5 of their papers we have counts for
3 papers · 1 filter
A Character-Word Compositional Neural Language Model for Finnish
Matti Lankinen, Hannes Heikinheimo, Pyry Takala +2
Inspired by recent research, we explore ways to model the highly morphological Finnish language at the level of characters while maintaining the performance of word-level models. W…
Gaussian Process Kernels for Popular State-Space Time Series Models
Alexander Grigorievskiy, Juha Karhunen
In this paper we investigate a link between state- space models and Gaussian Processes (GP) for time series modeling and forecasting. In particular, several widely used state- spac…
Semi-Supervised Domain Adaptation for Weakly Labeled Semantic Video Object Segmentation
Huiling Wang, Tapani Raiko, Lasse Lensu +2
Deep convolutional neural networks (CNNs) have been immensely successful in many high-level computer vision tasks given large labeled datasets. However, for video semantic object s…