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Found 7 papers, 1 papers with code
Temporally Coherent Bayesian Models for Entity Discovery in Videos by Tracklet Clustering
The task of \emph{Entity Discovery} in videos can be naturally posed as tracklet clustering.
Exploring Bayesian Models for Multi-level Clustering of Hierarchically Grouped Sequential Data
A wide range of Bayesian models have been proposed for data that is divided hierarchically into groups.
Video Trajectory Classification and Anomaly Detection Using Hybrid CNN-VAE
If such trajectories are used to understand the behavior (normal or anomalous) of moving objects, they need to be represented correctly.
Electoral David vs Goliath: How does the Spatial Concentration of Electors affect District-based Elections?
Our models are inspired by elections in India, where supporters of different parties tend to be concentrated in certain districts.
Spatio-temporal relationships between rainfall and convective clouds during Indian Monsoon through a discrete lens
We find that changes in convective cloud activity across India most commonly occur due to the establishment of a north-south OLR gradient which persists for 1-2 days and shifts the convective cloud cover from light to deep or vice versa.
Deep Learning-based Spatially Explicit Emulation of an Agent-Based Simulator for Pandemic in a City
An alternative is to develop an emulator, a surrogate model that can predict the Agent-Based Simulator's output based on its initial conditions and parameters.
SepHRNet: Generating High-Resolution Crop Maps from Remote Sensing imagery using HRNet with Separable Convolution
One way to achieve this is by analyzing high-resolution satellite imagery.
