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HiT: Hierarchical Transformer with Momentum Contrast for Video-Text Retrieval
Video-Text 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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Two-sample inference for high-dimensional 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 Kullback-Leilber divergence from model to data is a classic goodness...
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The electromagnetic waves propagation in unmagnetized plasma media using parallelized finite-difference time-domain method
The finite-difference time-domain (FDTD) method has been commonly utiliz...
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GPU-Accelerated Parallel Finite-Difference Time-Domain Method for Electromagnetic Waves Propagation in Unmagnetized Plasma Media
The finite-difference time-domain (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 inlier-based outlier detection method capable of both iden...
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Large-scale 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 High-dimensional Markov Networks: A Review on Methodologies and Theories
Recent years have seen an increasing popularity of learning the sparse c...
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Large-scale 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 Sparse-Change 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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Density-Difference Estimation
We address the problem of estimating the difference between two probabil...
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Change-Point Detection in Time-Series Data by Relative Density-Ratio Estimation
The objective of change-point detection is to discover abrupt property c...
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