61 citations · 65 across the 4 of their papers we have counts for
4 papers
Semi-supervised Learning with Deep Generative Models for Asset Failure Prediction
Andre S. Yoon, Taehoon Lee, Yongsub Lim +5
This work presents a novel semi-supervised learning approach for data-driven modeling of asset failures when health status is only partially known in historical data. We combine a…
FURL: Fixed-memory and Uncertainty Reducing Local Triangle Counting for Graph Streams
Minsoo Jung, Sunmin Lee, Yongsub Lim +1
How can we accurately estimate local triangles for all nodes in simple and multigraph streams? Local triangle counting in a graph stream is one of the most fundamental tasks in gra…
Efficient Energy Minimization for Enforcing Statistics
Yongsub Lim, Kyomin Jung, Pushmeet Kohli
Energy minimization algorithms, such as graph cuts, enable the computation of the MAP solution under certain probabilistic models such as Markov random fields. However, for many co…
Multi-dimensional Parametric Mincuts for Constrained MAP Inference
Yongsub Lim, Kyomin Jung, Pushmeet Kohli
In this paper, we propose novel algorithms for inferring the Maximum a Posteriori (MAP) solution of discrete pairwise random field models under multiple constraints. We show how th…