54 citations · 192 across the 14 of their papers we have counts for
5 papers · 1 filter
Earliness-Aware Deep Convolutional Networks for Early Time Series Classification
Wenlin Wang, Changyou Chen, Wenqi Wang +2
We present Earliness-Aware Deep Convolutional Networks (EA-ConvNets), an end-to-end deep learning framework, for early classification of time series data. Unlike most existing meth…
Unsupervised clustering under the Union of Polyhedral Cones (UOPC) model
Wenqi Wang, Vaneet Aggarwal, Shuchin Aeron
In this paper, we consider clustering data that is assumed to come from one of finitely many pointed convex polyhedral cones. This model is referred to as the Union of Polyhedral C…
Tensor Completion by Alternating Minimization under the Tensor Train (TT) Model
Wenqi Wang, Vaneet Aggarwal, Shuchin Aeron
Using the matrix product state (MPS) representation of tensor train decompositions, in this paper we propose a tensor completion algorithm which alternates over the matrices (tenso…
On Deterministic Conditions for Subspace Clustering under Missing Data
Wenqi Wang, Shuchin Aeron, Vaneet Aggarwal
In this paper we present deterministic conditions for success of sparse subspace clustering (SSC) under missing data, when data is assumed to come from a Union of Subspaces (UoS) m…
On deterministic conditions for subspace clustering under missing data
Wenqi Wang, Shuchin Aeron, Vaneet Aggarwal
In this paper we present deterministic analysis of sufficient conditions for sparse subspace clustering under missing data, when data is assumed to come from a Union of Subspaces (…