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Improving Channel Charting using a Split Triplet Loss and an Inertial Regularizer
Channel charting is an emerging technology that enables self-supervised pseudo-localization of user equipments by performing dimensionality reduction on large channel-state information (CSI) databases that are passively collected at infrastructure base stations or access points.
Multi-View Graph Embedding Using Randomized Shortest Paths
This data is well represented by multi-view graphs, which consist of several distinct sets of edges over the same nodes.
Faster Clustering via Non-Backtracking Random Walks
VEC employs a novel application of the state-of-the-art word2vec model to embed a graph in Euclidean space via random walks on the nodes of the graph.
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