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04/14/2022
Unsupervised Domain Adaptation with Implicit Pseudo Supervision for Semantic Segmentation
Pseudo-labelling is a popular technique in unsuper-vised domain adaptati...
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04/07/2020
Repulsive Mixture Models of Exponential Family PCA for Clustering
The mixture extension of exponential family principal component analysis...
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04/06/2020
Detecting Communities in Heterogeneous Multi-Relational Networks:A Message Passing based Approach
Community is a common characteristic of networks including social networ...
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04/02/2020
Projected Neural Network for a Class of Sparse Regression with Cardinality Penalty
In this paper, we consider a class of sparse regression problems, whose ...
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04/17/2019
Correlated Logistic Model With Elastic Net Regularization for Multilabel Image Classification
In this paper, we present correlated logistic (CorrLog) model for multil...
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04/05/2019
Diversified Hidden Markov Models for Sequential Labeling
Labeling of sequential data is a prevalent meta-problem for a wide range...
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04/05/2019
Adapting Stochastic Block Models to Power-Law Degree Distributions
Stochastic block models (SBMs) have been playing an important role in mo...
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08/15/2012