49 citations · 54 across the 6 of their papers we have counts for
5 papers
Manifold Alignment Determination: finding correspondences across different data views
Andreas Damianou, Neil D. Lawrence, Carl Henrik Ek
We present Manifold Alignment Determination (MAD), an algorithm for learning alignments between data points from multiple views or modalities. The approach is capable of learning c…
Diagnostic Prediction Using Discomfort Drawings with IBTM
Cheng Zhang, Hedvig Kjellstrom, Carl Henrik Ek +1
In this paper, we explore the possibility to apply machine learning to make diagnostic predictions using discomfort drawings. A discomfort drawing is an intuitive way for patients…
On a Family of Decomposable Kernels on Sequences
Andrea Baisero, Florian T. Pokorny, Carl Henrik Ek
In many applications data is naturally presented in terms of orderings of some basic elements or symbols. Reasoning about such data requires a notion of similarity capable of handl…
Persistent Evidence of Local Image Properties in Generic ConvNets
Ali Sharif Razavian, Hossein Azizpour, Atsuto Maki +3
Supervised training of a convolutional network for object classification should make explicit any information related to the class of objects and disregard any auxiliary informatio…
Manifold Relevance Determination
Andreas Damianou, Carl Ek, Michalis Titsias +1
In this paper we present a fully Bayesian latent variable model which exploits conditional nonlinear(in)-dependence structures to learn an efficient latent representation. The late…