#human-action-recognition

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#neural-networks

Bridging Geometry and Deep Learning: Key Developments in SPD and Grassmann Networks | HackerNoon

The paper develops novel layers for SPD neural networks and extends GCNs to Grassmann geometry, achieving effective results in action recognition and classification tasks.

New Riemannian Networks Outperform Traditional Models in Action Recognition and Node Classification | HackerNoon

GyroSpd++ integrates MLR layers, significantly enhancing action recognition accuracy in diverse datasets compared to existing models.

Reformulating Neural Layers on SPD Manifolds | HackerNoon

The proposed approach involves generalizing neural network layers to SPD manifolds for enhanced processing of structured data.

Bridging Geometry and Deep Learning: Key Developments in SPD and Grassmann Networks | HackerNoon

The paper develops novel layers for SPD neural networks and extends GCNs to Grassmann geometry, achieving effective results in action recognition and classification tasks.

New Riemannian Networks Outperform Traditional Models in Action Recognition and Node Classification | HackerNoon

GyroSpd++ integrates MLR layers, significantly enhancing action recognition accuracy in diverse datasets compared to existing models.

Reformulating Neural Layers on SPD Manifolds | HackerNoon

The proposed approach involves generalizing neural network layers to SPD manifolds for enhanced processing of structured data.
moreneural-networks

Manifold Geometry Meets Logistic Regression: The Rise of Hypergyroplanes | HackerNoon

Generalizing MLR to Riemannian manifolds involves adjusting the margin according to manifold geometry.
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