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  • Nov 3, 2020 face-recognition 

    Reading the NIST Report on 1:1 Face Recognition

    NIST conducts the Face Recognition Vendor Test (FRVT), whose aim it is to measure the performance of face recognition technologies (FRT) applied to civil, law enforcement and homeland security application.

  • Mar 9, 2020 face-recognition  social 

    Face Recognition News Roundup 2

    A brief summary of the newest developments surrounding face recognition and its growing use all over the world.

  • Nov 27, 2019 face-recognition  social 

    The Growing Threat of Smart Surveillance

    In the UK we have become used to surveillance cameras. It is estimated that there are 1.85 million CCTV cameras in the UK or one camera for every 36 people. As we go about our lives we are, on average, seen by 70 cameras every day. There are 309 cameras at the Oxford Circus tube station alone. And while the cost-to-benefit ratio can be debated, CCTV cameras have been credited with a small but statistically significant reduction in crime and they helped police identify the Novichok killers in Salisbury.

  • Nov 25, 2019 face-recognition  social 

    Face Recognition News Roundup

    This post is a brief summary of the newest developments involving face recognition and its growing use all over the world. This time the news involve the Indian teahouse chain Chaayos, the US-Mexico border, Macau police, the Electronic Frontier Foundation and Google.

  • Nov 18, 2019 deep-learning 

    Calibration of Neural Networks

    This post what it means to calibrate the outputs of neural networks, i.e., to connect the confidence scores that are the result of the training process with probability estimates for the likelihood that the network is making an error. The exposition largely follows the paper by Guo et al. 2017.

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