Nonparametric Estimation of Probabilistic Membership for Subspace Clustering

Variational Inference for 3-D Localization and Tracking of Multiple Targets Using Multiple Cameras

Building a Compact Convolutional Neural Network for Embedded Intelligent Sensor Systems Using Group Sparsity and Knowledge Distillation

Symmetric Graph Convolutional Autoencoder for Unsupervised Graph Representation Learning

Unsupervised 3D Reconstruction Networks

A Scalable Framework for Data-Driven Subspace Representation and Clustering

Non-alternating stochastic K-means based on probabilistic representation of solution space

Deep pose consensus networks

Face Recognition in SSPP Problem Using Face Relighting Based on Coupled Bilinear Model

Knowledge Distillation with Adversarial Samples Supporting Decision Boundary