3 papers
cs.LG2018
Expressive power of outer product manifolds on feed-forward neural networks
Bálint Daróczy, Rita Aleksziev, András Benczúr
Hierarchical neural networks are exponentially more efficient than their corresponding "shallow" counterpart with the same expressive power, but involve huge number of parameters a…
cs.SI2018
And Now for Something Completely Different: Visual Novelty in an Online Network of Designers
Johannes Wachs, Bálint Daróczy, Anikó Hannák +2
Novelty is a key ingredient of innovation but quantifying it is difficult. This is especially true for visual work like graphic design. Using designs shared on an online social net…
cs.CV2017
Machine learning methods for multimedia information retrieval
Bálint Zoltán Daróczy
In this thesis we examined several multimodal feature extraction and learning methods for retrieval and classification purposes. We reread briefly some theoretical results of learn…