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Advances in Neural Information Processing Systems, ISSN 1049-5258, 2017, Volume 2017-, pp. 5597 - 5606
Conference Proceeding
Medical image analysis, ISSN 1361-8415, 2019, Volume 52, pp. 24 - 41
Journal Article
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), ISSN 0302-9743, 2014, Volume 8694, Issue 6, pp. 526 - 539
Conference Proceeding
2013 IEEE International Conference on Computer Vision, ISSN 1550-5499, 12/2013, pp. 737 - 744
Gathering accurate training data for recognizing a set of attributes or tags on images or videos is a challenge. Obtaining labels via manual effort or from... 
Training | Support vector machines | Noise | Noise measurement | Labeling | Optimization | Videos | Computer vision | Conferences | Manuals | Labels | Tags | Recognition | Visual | Handling
Conference Proceeding
05/2017
Collecting large training datasets, annotated with high-quality labels, is costly and time-consuming. This paper proposes a novel framework for training deep... 
Journal Article
2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), ISSN 1063-6919, 06/2016, Volume 2016-, pp. 1971 - 1980
In group activity recognition, the temporal dynamics of the whole activity can be inferred based on the dynamics of the individual people representing the... 
Logic gates | Computer vision | Recurrent neural networks | Computational modeling | Videos
Conference Proceeding
2013 IEEE International Conference on Computer Vision, ISSN 1550-5499, 12/2013, pp. 1185 - 1192
We present a compositional model for video event detection. A video is modeled using a collection of both global and segment-level features and kernel... 
Support vector machines | Training | Computational modeling | Feature extraction | Linear programming | Kernel | Standards | Learning | Multimedia | Kernels | Computer vision | Effectiveness | Conferences | Similarity | Mathematical models
Conference Proceeding
2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), ISSN 1063-6919, 06/2016, Volume 2016-, pp. 4772 - 4781
Rich semantic relations are important in a variety of visual recognition problems. As a concrete example, group activity recognition involves the interactions... 
Graphical models | Recurrent neural networks | Computational modeling | Machine learning
Conference Proceeding
05/2018
Machine learning classification models which are robust against label noise are provided. Noise may be modelled explicitly by modelling "label flips", where... 
PRESENTATION OF DATA | HANDLING RECORD CARRIERS | COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS | COMPUTING | COUNTING | PHYSICS | CALCULATING | RECORD CARRIERS | RECOGNITION OF DATA
Patent
Computer Vision and Image Understanding, ISSN 1077-3142, 06/2015, Volume 135, pp. 16 - 30
•We present key-component models for selecting important temporal instants or human poses from video sequences.•Human interaction key-component models are... 
Human action recognition | Activity detection | Video analysis | Machine learning | LIBRARY | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ENGINEERING, ELECTRICAL & ELECTRONIC
Journal Article
Australasian marketing journal, ISSN 1441-3582, 01/2020
Journal Article
01/2019
The representation of the approximate posterior is a critical aspect of effective variational autoencoders (VAEs). Poor choices for the approximate posterior... 
Journal Article
Organization management journal, ISSN 1541-6518, 2019, Volume 16, Issue 4, pp. 220 - 234
The current study aims to investigate the effect of strategic consensus among managers on organizational performance, with an emphasis on shared leadership and... 
performance | communication | shared leadership | Strategic consensus | knowledge-intensive firm
Journal Article
09/2018
In many applications we seek to maximize an expectation with respect to a distribution over discrete variables. Estimating gradients of such objectives with... 
Journal Article
02/2020
This paper relates parameter distance to gradient breakdown for a broad class of nonlinear compositional functions. The analysis leads to a new distance... 
Journal Article
05/2018
Boltzmann machines are powerful distributions that have been shown to be an effective prior over binary latent variables in variational autoencoders (VAEs).... 
Journal Article
12/2019
Neural architecture search (NAS) aims to discover network architectures with desired properties such as high accuracy or low latency. Recently, differentiable... 
Journal Article
2019 IEEE/CVF International Conference on Computer Vision (ICCV), 10/2019, pp. 480 - 490
Domain shift is unavoidable in real-world applications of object detection. For example, in self-driving cars, the target domain consists of unconstrained road... 
Training | Adaptation models | Computational modeling | Object detection | Feature extraction | Robustness | Noise measurement
Conference Proceeding
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