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Found 7 papers, 1 papers with code
Channel Decomposition into Painting Actions
This work presents a method to decompose a convolutional layer of the deep neural network into painting actions.
Topical Behavior Prediction from Massive Logs
To make the behavioral data appropriate for the spatial learning in the CNN, we propose several reduction steps to form the topical metrics and to place them homogeneously like pixels in the images.
Summarized Network Behavior Prediction
This work studies the entity-wise topical behavior from massive network logs.
Interacting with Massive Behavioral Data
We apply the SD algorithm to analyze the user behavior through access logs within the cyber security domain.
Large Scale Behavioral Analytics via Topical Interaction
We propose the split-diffuse (SD) algorithm that takes the output of an existing dimension reduction algorithm, and distributes the data points uniformly across the visualization space.
Topic Grids for Homogeneous Data Visualization
We propose the topic grids to detect anomaly and analyze the behavior based on the access log content.
