Search Results - "Hauptmann, G"

Simultaneous Bearing Fault Recognition and Remaining Useful Life Prediction Using Joint-Loss Convolutional Neural Network by Liu, Ruonan, Yang, Boyuan, Hauptmann, Alexander G.

“…Fault diagnosis and remaining useful life (RUL) prediction are always two major issues in modern industrial systems, which are usually regarded as two…”
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Contrastive Adaptation Network for Unsupervised Domain Adaptation by Kang, Guoliang, Jiang, Lu, Yang, Yi, Hauptmann, Alexander G.

“…Unsupervised Domain Adaptation (UDA) makes predictions for the target domain data while manual annotations are only available in the source domain. Previous…”
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Uncovering the Temporal Context for Video Question Answering by Zhu, Linchao, Xu, Zhongwen, Yang, Yi, Hauptmann, Alexander G.

“…In this work, we introduce Video Question Answering in the temporal domain to infer the past, describe the present and predict the future. We present an…”
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Feature Selection for Multimedia Analysis by Sharing Information Among Multiple Tasks by Yi Yang, Zhigang Ma, Hauptmann, A. G., Sebe, N.

“…While much progress has been made to multi-task classification and subspace learning, multi-task feature selection has long been largely unaddressed. In this…”
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Discriminating Joint Feature Analysis for Multimedia Data Understanding by Zhigang Ma, Feiping Nie, Yi Yang, Uijlings, J. R. R., Sebe, N., Hauptmann, A. G.

“…In this paper, we propose a novel semi-supervised feature analyzing framework for multimedia data understanding and apply it to three different applications:…”
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Multi-Feature Fusion via Hierarchical Regression for Multimedia Analysis by Yi Yang, Jingkuan Song, Zi Huang, Zhigang Ma, Sebe, N., Hauptmann, A. G.

“…Multimedia data are usually represented by multiple features. In this paper, we propose a new algorithm, namely Multi-feature Learning via Hierarchical…”
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DecideNet: Counting Varying Density Crowds Through Attention Guided Detection and Density Estimation by Liu, Jiang, Gao, Chenqiang, Meng, Deyu, Hauptmann, Alexander G.

“…In real-world crowd counting applications, the crowd densities vary greatly in spatial and temporal domains. A detection based counting method will estimate…”
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Web and Personal Image Annotation by Mining Label Correlation With Relaxed Visual Graph Embedding by Yang, Y., Wu, F., Nie, F., Shen, H. T., Zhuang, Y., Hauptmann, A. G.

“…The number of digital images rapidly increases, and it becomes an important challenge to organize these resources effectively. As a way to facilitate image…”
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Efficient human action recognition using histograms of motion gradients and VLAD with descriptor shape information by Duta, Ionut C., R. Uijlings, Jasper R., Ionescu, Bogdan, Aizawa, Kiyoharu, G. Hauptmann, Alexander, Sebe, Nicu

“…Feature extraction and encoding represent two of the most crucial steps in an action recognition system. For building a powerful action recognition pipeline it…”
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Cutaneous manifestations of complement deficiencies by Lipsker, D., Hauptmann, G.

“…In this review we address the main cutaneous manifestations and diseases associated with deficiencies in components of the complement system. The first part is…”
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Multi-Class Active Learning by Uncertainty Sampling with Diversity Maximization by Yang, Yi, Ma, Zhigang, Nie, Feiping, Chang, Xiaojun, Hauptmann, Alexander G.

“…As a way to relieve the tedious work of manual annotation, active learning plays important roles in many applications of visual concept recognition. In typical…”
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Two-color whole-mount in situ hybridization to vertebrate and Drosophila embryos by Hauptmann, G, Gerster, T

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Adaptive Unsupervised Feature Selection With Structure Regularization by Luo, Minnan, Nie, Feiping, Chang, Xiaojun, Yang, Yi, Hauptmann, Alexander G., Zheng, Qinghua

“…Feature selection is one of the most important dimension reduction techniques for its efficiency and interpretation. Since practical data in large scale are…”
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S49-02 Psychiatric comorbidity and PTSD in addicted prostitutes by Hauptmann, G

“…In the city of Rotterdam prostitution used to take place not only in sexclubs but also in and around a designated prostitution street-zone in the harbor area…”
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An Adaptive Semisupervised Feature Analysis for Video Semantic Recognition by Luo, Minnan, Chang, Xiaojun, Nie, Liqiang, Yang, Yi, Hauptmann, Alexander G., Zheng, Qinghua

“…Video semantic recognition usually suffers from the curse of dimensionality and the absence of enough high-quality labeled instances, thus semisupervised…”
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Infrared Patch-Image Model for Small Target Detection in a Single Image by Chenqiang Gao, Deyu Meng, Yi Yang, Yongtao Wang, Xiaofang Zhou, Hauptmann, Alexander G.

“…The robust detection of small targets is one of the key techniques in infrared search and tracking applications. A novel small target detection method in a…”
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Feature Interaction Augmented Sparse Learning for Fast Kinect Motion Detection by Xiaojun Chang, Zhigang Ma, Ming Lin, Yi Yang, Hauptmann, Alexander G.

“…The Kinect sensing devices have been widely used in current Human-Computer Interaction entertainment. A fundamental issue involved is to detect users' motions…”
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Multicolor whole-mount in situ hybridization by Hauptmann, G, Gerster, T

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A discriminative learning framework with pairwise constraints for video object classification by Rong Yan, Jian Zhang, Jie Yang, Hauptmann, A.G.

“…To deal with the problem of insufficient labeled data in video object classification, one solution is to utilize additional pairwise constraints that indicate…”
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Peeking Into the Future: Predicting Future Person Activities and Locations in Videos by Liang, Junwei, Jiang, Lu, Niebles, Juan Carlos, Hauptmann, Alexander G., Fei-Fei, Li

“…Deciphering human behaviors to predict their future paths/trajectories and what they would do from videos is important in many applications. Motivated by this…”
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