Instruct: Given the title of a scientific paper, retrieve paper titles that are cited by the given paper.
Query: A Multi-task Convolutional Neural Network for Joint Iris Detection and Presentation Attack Detection
Efficient Iris Spoof Detection via Boosted Local Binary Patterns
Efficient iris segmentation method in unconstrained environments
Combining Iris and Periocular Recognition Using Light Field Camera
Segmenting iris images in the visible spectrum with applications in mobile biometrics
Higher-order, adversary-aware, double JPEG-detection via selected training on attacked samples
Iris recognition using circular symmetric filters
Liveness detection for iris recognition using multispectral images
Detector Discovery in the Wild: Joint Multiple Instance and Representation Learning
An Artificial Neural Network based Intrusion Detection System and Classification of Attacks
Iris Recognition with a Database of Iris Images Obtained in Visible Light Using Smartphone Camera
Iris localization based on integro-differential operator for unconstrained infrared iris images
Accelerated deep neural networks for enhanced Intrusion Detection System
DCNN-based Human-Interpretable Post-mortem Iris Recognition
Person Identification Technique Using Human Iris Recognition
Statistical Pattern Recognition of the Iris
A robust preprocessing algorithm for iris segmentation from low contrast eye images
Accurate iris segmentation based on novel reflection and eyelash detection model
Robust 2D/3D face mask presentation attack detection scheme by exploring multiple features and comparison score level fusion
Deep Learning Approaches for Predictive Masquerade Detection
Presentation Attack Detection Methods for Face Recognition Systems: A Comprehensive Survey
Asphyxiation by occlusion of nose and mouth by duct tape: two unusual suicides.
Pattern recognition and machine learning
Sugar fermentation in probiotic bacteria - anin vitrostudy
Doc 2 Cube : Automated Document Allocation to Text Cube via Dimension-Aware Joint Embedding
Network Neutrality on the Internet: A Two-Sided Market Analysis