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Face Detection Using Convolutional Neural Networks and Gabor Filters

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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-540-24673-2_16openalex-snapshot
Stereovision-Based Head Tracking Using Color and Ellipse Fitting in a Particle Filter
inferredcites →https://doi.org/10.1007/b97865openalex-snapshot
Computer Vision - ECCV 2004
inferredcites →https://doi.org/10.1109/34.598229openalex-snapshot
Face recognition: the problem of compensating for changes in illumination direction
inferredcites →https://doi.org/10.1109/34.655647openalex-snapshot
Neural network-based face detection
inferredcites →https://doi.org/10.1109/34.655648openalex-snapshot
Example-based learning for view-based human face detection
inferredcites →https://doi.org/10.1109/34.982883openalex-snapshot
Detecting faces in images: a survey
inferredcites →https://doi.org/10.1109/5.628712openalex-snapshot
Pace recognition: eigenface, elastic matching, and neural nets
inferredcites →https://doi.org/10.1109/72.554195openalex-snapshot
Face recognition: a convolutional neural-network approach
inferredcites →https://doi.org/10.1109/icpr.2002.1048232openalex-snapshot
A neural architecture for fast and robust face detection
inferredcites →https://doi.org/10.1152/jn.1987.58.6.1233openalex-snapshot
An evaluation of the two-dimensional Gabor filter model of simple receptive fields in cat striate cortex
inferredcites →https://doi.org/10.5555/303568.303704openalex-snapshot
Convolutional networks for images, speech, and time series
inferredcites →https://doi.org/10.5860/choice.33-4484openalex-snapshot
The Handbook of brain theory and neural networks

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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