430 citations · 1.5k across the 20 of their papers we have counts for
5 papers · 1 filter
Contextual Face Recognition with a Nested-Hierarchical Nonparametric Identity Model
Daniel C. Castro, Sebastian Nowozin
Current face recognition systems typically operate via classification into known identities obtained from supervised identity annotations. There are two problems with this paradigm…
Morpho-MNIST: Quantitative Assessment and Diagnostics for Representation Learning
Daniel C. Castro, Jeremy Tan, Bernhard Kainz +2
Revealing latent structure in data is an active field of research, having introduced exciting technologies such as variational autoencoders and adversarial networks, and is essenti…
Semi-Supervised Learning via Compact Latent Space Clustering
Konstantinos Kamnitsas, Daniel C. Castro, Loic Le Folgoc +6
We present a novel cost function for semi-supervised learning of neural networks that encourages compact clustering of the latent space to facilitate separation. The key idea is to…
From Face Recognition to Models of Identity: A Bayesian Approach to Learning about Unknown Identities from Unsupervised Data
Daniel C. Castro, Sebastian Nowozin
Current face recognition systems robustly recognize identities across a wide variety of imaging conditions. In these systems recognition is performed via classification into known…
Nonparametric Density Flows for MRI Intensity Normalisation
Daniel C. Castro, Ben Glocker
With the adoption of powerful machine learning methods in medical image analysis, it is becoming increasingly desirable to aggregate data that is acquired across multiple sites. Ho…