Search Results for author: Rodrigo F. de Mello

Found 2 papers, 0 papers with code

Are pre-trained CNNs good feature extractors for anomaly detection in surveillance videos?

no code implementations20 Nov 2018 Tiago S. Nazare, Rodrigo F. de Mello, Moacir A. Ponti

Nevertheless, few studies leverage features from pre-trained CNNs and none of then present a comparison of features generate by different models.

Anomaly Detection In Surveillance Videos Image Classification

Acoustic Modeling Using a Shallow CNN-HTSVM Architecture

no code implementations27 Jun 2017 Christopher Dane Shulby, Martha Dais Ferreira, Rodrigo F. de Mello, Sandra Maria Aluisio

More importantly we isolate the performance of the acoustic model and provide results on both the frame and phoneme level considering the true robustness of the model.

speech-recognition Speech Recognition

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