Search Results - "Ma, Zhanyu"

Bayesian Estimation of Beta Mixture Models with Variational Inference by Zhanyu Ma, Leijon, A.

“…Bayesian estimation of the parameters in beta mixture models (BMM) is analytically intractable. The numerical solutions to simulate the posterior distribution…”
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Bayesian Estimation of the von-Mises Fisher Mixture Model with Variational Inference by Taghia, Jalil, Zhanyu Ma, Leijon, Arne

“…This paper addresses the Bayesian estimation of the von-Mises Fisher (vMF) mixture model with variational inference (VI). The learning task in VI consists of…”
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AP-CNN: Weakly Supervised Attention Pyramid Convolutional Neural Network for Fine-Grained Visual Classification by Ding, Yifeng, Ma, Zhanyu, Wen, Shaoguo, Xie, Jiyang, Chang, Dongliang, Si, Zhongwei, Wu, Ming, Ling, Haibin

“…Classifying the sub-categories of an object from the same super-category (e.g., bird species and cars) in fine-grained visual classification (FGVC) highly…”
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The Devil is in the Channels: Mutual-Channel Loss for Fine-Grained Image Classification by Chang, Dongliang, Ding, Yifeng, Xie, Jiyang, Bhunia, Ayan Kumar, Li, Xiaoxu, Ma, Zhanyu, Wu, Ming, Guo, Jun, Song, Yi-Zhe

“…The key to solving fine-grained image categorization is finding discriminate and local regions that correspond to subtle visual traits. Great strides have been…”
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Computer-aided diagnosis of colorectal polyps using linked color imaging colonoscopy to predict histology by Min, Min, Su, Song, He, Wenrui, Bi, Yiliang, Ma, Zhanyu, Liu, Yan

“…We developed a computer-aided diagnosis (CAD) system based on linked color imaging (LCI) images to predict the histological results of polyps by analyzing the…”
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Decorrelation of Neutral Vector Variables: Theory and Applications by Zhanyu Ma, Jing-Hao Xue, Leijon, Arne, Zheng-Hua Tan, Zhen Yang, Jun Guo

“…In this paper, we propose novel strategies for neutral vector variable decorrelation. Two fundamental invertible transformations, namely, serial nonlinear…”
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Bayesian estimation of Dirichlet mixture model with variational inference by Ma, Zhanyu, Rana, Pravin Kumar, Taghia, Jalil, Flierl, Markus, Leijon, Arne

“…In statistical modeling, parameter estimation is an essential and challengeable task. Estimation of the parameters in the Dirichlet mixture model (DMM) is…”
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Variational Bayesian Matrix Factorization for Bounded Support Data by Zhanyu Ma, Teschendorff, Andrew E., Leijon, Arne, Yuanyuan Qiao, Honggang Zhang, Jun Guo

“…A novel Bayesian matrix factorization method for bounded support data is presented. Each entry in the observation matrix is assumed to be beta distributed. As…”
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A Comprehensive Review of Smart Energy Meters in Intelligent Energy Networks by Qie Sun, Hailong Li, Zhanyu Ma, Chao Wang, Campillo, Javier, Qi Zhang, Wallin, Fredrik, Jun Guo

“…The significant increase in energy consumption and the rapid development of renewable energy, such as solar power and wind power, have brought huge challenges…”
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The Role of Data Analysis in the Development of Intelligent Energy Networks by Ma, Zhanyu, Xie, Jiyang, Li, Hailong, Sun, Qie, Si, Zhongwei, Zhang, Jianhua, Guo, Jun

“…Data analysis plays an important role in the development of intelligent energy networks (IENs). This article reviews and discusses the application of data…”
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Progressive Co-Attention Network for Fine-Grained Visual Classification by Zhang, Tian, Chang, Dongliang, Ma, Zhanyu, Guo, Jun

“…Fine-grained visual classification aims to recognize images belonging to multiple sub-categories within a same category. It is a challenging task due to the…”
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Deep Learning-Based Computer Vision for Surveillance in ITS: Evaluation of State-of-the-Art Methods by Xie, Jiyang, Zheng, Yixiao, Du, Ruoyi, Xiong, Weiyu, Cao, Yufei, Ma, Zhanyu, Cao, Dongpu, Guo, Jun

“…Intelligent transportation system (ITS) collects numerous data for analysis of the transportation system. The data can be used for providing services for…”
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LRID: A new metric of multi-class imbalance degree based on likelihood-ratio test by Zhu, Rui, Wang, Ziyu, Ma, Zhanyu, Wang, Guijin, Xue, Jing-Hao

“…•Propose a new metric, LRID, to measure multi-class imbalance extent.•Discuss the effect of the number of minority classes on multi-class imbalance…”
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Vector quantization of LSF parameters with a mixture of dirichlet distributions by Zhanyu Ma, Leijon, Arne, Kleijn, W. Bastiaan

“…Quantization of the linear predictive coding parameters is an important part in speech coding. Probability density function (PDF)-optimized vector quantization…”
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SketchMate: Deep Hashing for Million-Scale Human Sketch Retrieval by Xu, Peng, Huang, Yongye, Yuan, Tongtong, Pang, Kaiyue, Song, Yi-Zhe, Xiang, Tao, Hospedales, Timothy M., Ma, Zhanyu, Guo, Jun

“…We propose a deep hashing framework for sketch retrieval that, for the first time, works on a multi-million scale human sketch dataset. Leveraging on this…”
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DNN Filter Bank Cepstral Coefficients for Spoofing Detection by Yu, Hong, Tan, Zheng-Hua, Zhang, Yiming, Ma, Zhanyu, Guo, Jun

“…With the development of speech synthesis techniques, automatic speaker verification systems face the serious challenge of spoofing attack. In order to improve…”
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Learning Deep Features for DNA Methylation Data Analysis by Si, Zhongwei, Yu, Hong, Ma, Zhanyu

“…Many studies demonstrated that the DNA methylation, which occurs in the context of a CpG, has strong correlation with diseases, including cancer. There is a…”
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Statistical analysis of energy consumption patterns on the heat demand of buildings in district heating systems by Ma, Zhanyu, Li, Hailong, Sun, Qie, Wang, Chao, Yan, Aibin, Starfelt, Fredrik

“…•The paper studied the impacts of energy consumption patterns on heat consumption.•Time and building types were used to reflect various ECPs.•Results show that…”
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Probabilistic Multiview Depth Image Enhancement Using Variational Inference by Rana, Pravin Kumar, Taghia, Jalil, Zhanyu Ma, Flierl, Markus

“…An inference-based multiview depth image enhancement algorithm is introduced and investigated in this paper. Multiview depth imagery plays a pivotal role in…”
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Dirichlet mixture modeling to estimate an empirical lower bound for LSF quantization by Ma, Zhanyu, Chatterjee, Saikat, Bastiaan Kleijn, W., Guo, Jun

“…The line spectral frequencies (LSFs) are commonly used for the linear predictive/autoregressive model in speech and audio coding. Recently, probability density…”
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