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Found 4 papers, 1 papers with code
POCS-based Clustering Algorithm
The proposed POCS-based clustering algorithm exploits a parallel projection method of POCS to find appropriate cluster prototypes in the feature space.
Toward the Analysis of Graph Neural Networks
Graph Neural Networks (GNNs) have recently emerged as a robust framework for graph-structured data.
PR-CIM: a Variation-Aware Binary-Neural-Network Framework for Process-Resilient Computation-in-memory
Our Monte-Carlo simulations show that in an SRAM-based analog CIM of VGG-9, the classification accuracy of CIFAR-10 is degraded even below 20% under process variations of 65nm CMOS.
End-to-End Hierarchical Relation Extraction for Generic Form Understanding
Form understanding is a challenging problem which aims to recognize semantic entities from the input document and their hierarchical relations.
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