640 citations · 3.8k across the 44 of their papers we have counts for
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Making Tensor Factorizations Robust to Non-Gaussian Noise
Eric C. Chi, Tamara G. Kolda
Tensors are multi-way arrays, and the Candecomp/Parafac (CP) tensor factorization has found application in many different domains. The CP model is typically fit using a least squar…
Shifted Power Method for Computing Tensor Eigenpairs
Tamara G. Kolda, Jackson R. Mayo
Recent work on eigenvalues and eigenvectors for tensors of order m >= 3 has been motivated by applications in blind source separation, magnetic resonance imaging, molecular conform…
Temporal Link Prediction using Matrix and Tensor Factorizations
Daniel M. Dunlavy, Tamara G. Kolda, Evrim Acar
The data in many disciplines such as social networks, web analysis, etc. is link-based, and the link structure can be exploited for many different data mining tasks. In this paper,…
Scalable Tensor Factorizations for Incomplete Data
Evrim Acar, Tamara G. Kolda, Daniel M. Dunlavy +1
The problem of incomplete data - i.e., data with missing or unknown values - in multi-way arrays is ubiquitous in biomedical signal processing, network traffic analysis, bibliometr…