most citedKernel Clustering with Sigmoid-based Regularization for Efficient Segmentation of Sequential Data

2 citations · 2 across the 1 of their papers we have counts for

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2 papers

cs.LG2021★ 2 cited

Kernel Clustering with Sigmoid-based Regularization for Efficient Segmentation of Sequential Data

Tung Doan, Atsuhiro Takasu

Kernel segmentation aims at partitioning a data sequence into several non-overlapping segments that may have nonlinear and complex structures. In general, it is formulated as a dis…

stat.ML2015

Guaranteed inference in topic models

Khoat Than, Tung Doan

One of the core problems in statistical models is the estimation of a posterior distribution. For topic models, the problem of posterior inference for individual texts is particula…