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Alessandro Perina

2 accepted papers

2017

Summarization and Classification of Wearable Camera Streams by Learning the Distributions Over Deep Features of Out-Of-Sample Image Sequences

ICCV 2017poster

A popular approach to training classifiers of new image classes is to use lower levels of a pre-trained feed-forward neural network and retrain only the top. Thus, most layers simply serve as highly nonlinear feature extractors. While these features were found useful for classifying a variety of sce…

Cited by 8PDFScholar
2015

Sparse Representation Classification With Manifold Constraints Transfer

CVPR 2015poster

The fact that image data samples lie on a manifold has been successfully exploited in many learning and inference problems. In this paper we leverage the specific structure of data in order to improve recognition accuracies in general recognition tasks. In particular we propose a novel framework tha…

Cited by 66SourcePDFScholar