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Found 3 papers, 2 papers with code
Deep Double Self-Expressive Subspace Clustering
The key idea of our solution is to view the self-expressive coefficient as a feature representation of the example to get another coefficient matrix.
Using Deep Reinforcement Learning for Zero Defect Smart Forging
Defects during production may lead to material waste, which is a significant challenge for many companies as it reduces revenue and negatively impacts sustainability and the environment.
A Unified RGB-T Saliency Detection Benchmark: Dataset, Baselines, Analysis and A Novel Approach
In particular, we introduce a weight for each modality to describe the reliability, and integrate them into the graph-based manifold ranking algorithm to achieve adaptive fusion of different source data.
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