150 citations · 221 across the 19 of their papers we have counts for
4 papers · 1 filter
Tree-Guided MCMC Inference for Normalized Random Measure Mixture Models
Juho Lee, Seungjin Choi
Normalized random measures (NRMs) provide a broad class of discrete random measures that are often used as priors for Bayesian nonparametric models. Dirichlet process is a well-kno…
Bilinear Random Projections for Locality-Sensitive Binary Codes
Saehoon Kim, Seungjin Choi
Locality-sensitive hashing (LSH) is a popular data-independent indexing method for approximate similarity search, where random projections followed by quantization hash the points…
Learning to Select Pre-Trained Deep Representations with Bayesian Evidence Framework
Yong-Deok Kim, Taewoong Jang, Bohyung Han +1
We propose a Bayesian evidence framework to facilitate transfer learning from pre-trained deep convolutional neural networks (CNNs). Our framework is formulated on top of a least s…
Bayesian Hierarchical Clustering with Exponential Family: Small-Variance Asymptotics and Reducibility
Juho Lee, Seungjin Choi
Bayesian hierarchical clustering (BHC) is an agglomerative clustering method, where a probabilistic model is defined and its marginal likelihoods are evaluated to decide which clus…