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Found 5 papers, 0 papers with code
Reinforcement Learning for Assignment Problem with Time Constraints
Tasks and workers have time constraints and there is a cost associated with assigning a worker to a task.
Identifying Linked Fraudulent Activities Using GraphConvolution Network
In this paper, we present a novel approach to identify linked fraudulent activities or actors sharing similar attributes, using Graph Convolution Network (GCN).
Y-net: Biomedical Image Segmentation and Clustering
We use the deep clustering branch for clustering images into four clusters.
Interior Object Detection and Color Harmonization
Later this object specific information gets appended to the room attributes (room_type, room_size, preferred_tone, etc) and a deep neural net is trained to make predictions for color/texture/wallpaper for the walls.
Predictive Image Regression for Longitudinal Studies with Missing Data
Features extracted by the LSTM and CNN are fed into a decoder network to reconstruct the vector momentum sequence, which is used for the image sequence prediction by deforming the baseline image with LDDMM shooting.
