133 citations · 683 across the 44 of their papers we have counts for
5 papers · 1 filter
Tensor Train Neighborhood Preserving Embedding
Wenqi Wang, Vaneet Aggarwal, Shuchin Aeron
In this paper, we propose a Tensor Train Neighborhood Preserving Embedding (TTNPE) to embed multi-dimensional tensor data into low dimensional tensor subspace. Novel approaches to…
Faster Clustering via Non-Backtracking Random Walks
Brian Rappaport, Anuththari Gamage, Shuchin Aeron
This paper presents VEC-NBT, a variation on the unsupervised graph clustering technique VEC, which improves upon the performance of the original algorithm significantly for sparse…
Efficient Low Rank Tensor Ring Completion
Wenqi Wang, Vaneet Aggarwal, Shuchin Aeron
Using the matrix product state (MPS) representation of the recently proposed tensor ring decompositions, in this paper we propose a tensor completion algorithm, which is an alterna…
Sample, computation vs storage tradeoffs for classification using tensor subspace models
Mohammadhossein Chaghazardi, Shuchin Aeron
In this paper, we exhibit the tradeoffs between the (training) sample, computation and storage complexity for the problem of supervised classification using signal subspace estimat…
Word Embeddings via Tensor Factorization
Eric Bailey, Shuchin Aeron
Most popular word embedding techniques involve implicit or explicit factorization of a word co-occurrence based matrix into low rank factors. In this paper, we aim to generalize th…