
HiT: Hierarchical Transformer with Momentum Contrast for VideoText Retrieval
VideoText Retrieval has been a hot research topic with the explosion of...
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Posterior Ratio Estimation for Latent Variables
Density Ratio Estimation has attracted attention from machine learning c...
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Model Reuse with Reduced Kernel Mean Embedding Specification
Given a publicly available pool of machine learning models constructed f...
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Estimating Density Models with Complex Truncation Boundaries
Truncated densities are probability density functions defined on truncat...
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Twosample inference for highdimensional Markov networks
Markov networks are frequently used in sciences to represent conditional...
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Personalized Dialogue Generation with Diversified Traits
Endowing a dialogue system with particular personality traits is essenti...
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Model Inference with Stein Density Ratio Estimation
The KullbackLeilber divergence from model to data is a classic goodness...
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The electromagnetic waves propagation in unmagnetized plasma media using parallelized finitedifference timedomain method
The finitedifference timedomain (FDTD) method has been commonly utiliz...
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GPUAccelerated Parallel FiniteDifference TimeDomain Method for Electromagnetic Waves Propagation in Unmagnetized Plasma Media
The finitedifference timedomain (FDTD) method has been commonly utiliz...
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Trimmed Density Ratio Estimation
Density ratio estimation is a vital tool in both machine learning and st...
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Interpreting Outliers: Localized Logistic Regression for Density Ratio Estimation
We propose an inlierbased outlier detection method capable of both iden...
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Largescale Isolated Gesture Recognition Using Convolutional Neural Networks
This paper proposes three simple, compact yet effective representations ...
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Learning Sparse Structural Changes in Highdimensional Markov Networks: A Review on Methodologies and Theories
Recent years have seen an increasing popularity of learning the sparse c...
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Largescale Continuous Gesture Recognition Using Convolutional Neural Networks
This paper addresses the problem of continuous gesture recognition from ...
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Planogram Compliance Checking Based on Detection of Recurring Patterns
In this paper, a novel method for automatic planogram compliance checkin...
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Creating Simplified 3D Models with High Quality Textures
This paper presents an extension to the KinectFusion algorithm which all...
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Estimating Posterior Ratio for Classification: Transfer Learning from Probabilistic Perspective
Transfer learning assumes classifiers of similar tasks share certain par...
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Structure Learning of Partitioned Markov Networks
We learn the structure of a Markov Network between two groups of random ...
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Support Consistency of Direct SparseChange Learning in Markov Networks
We study the problem of learning sparse structure changes between two Ma...
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Direct Learning of Sparse Changes in Markov Networks by Density Ratio Estimation
We propose a new method for detecting changes in Markov network structur...
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DensityDifference Estimation
We address the problem of estimating the difference between two probabil...
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ChangePoint Detection in TimeSeries Data by Relative DensityRatio Estimation
The objective of changepoint detection is to discover abrupt property c...
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Song Liu
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Lecturer in Data Science and A.I. at Computer Science Department, University of Bristol