- Read more about Presentation Slides for 'Multiple-kernel Adaptive Segmentation and Tracking (MAST) for Robust Object Tracking'
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In a video surveillance system with static cameras, object segmentation often fails when part of the object has similar color with the background, resulting in poor performance of the subsequent object tracking. Multiple kernels have been utilized in object tracking to deal with occlusion, but the performance still highly depends on segmentation.
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![REAL-TIME MULTI-CANDIDATES FUSION BASED HEAD TRACKING ON KINECT DEPTH SEQUENCE REAL-TIME MULTI-CANDIDATES FUSION BASED HEAD TRACKING ON KINECT DEPTH SEQUENCE](https://sigport.org/sites/default/files/styles/list/public/Media%20Root/%E5%9B%BE_0_0_0_0_0.jpg?itok=zAgYadbB)
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- Read more about Ship wake detection for sar images with complex backgrounds based on morphological dictionary learning
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- Read more about Ship wake detection for sar images with complex backgrounds based on morphological dictionary learning
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![](https://sigport.org/sites/default/files/styles/list/public/Media%20Root/Bernstein_0.png?itok=uhwNwcMZ)
- Read more about Bernstein Filter: a new solver for mean curvature regularized models
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The mean curvature has been shown a proper regularization in various ill-posed inverse problems in signal processing. Traditional solvers are based on either gradient descent methods or Euler Lagrange Equation. However, it is not clear if this mean curvature regularization term itself is convex or not. In this paper, we first prove that the mean curvature regularization is convex if the dimension of imaging domain is not
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![Block diagram of the proposed class-specific dictionary learning.](https://sigport.org/sites/default/files/styles/list/public/Sample%20Document%20Images/flwchart.png?itok=aAwT0inQ)
- Read more about Supervised-learning based face hallucination for enhancing face recognition
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This paper presents a two-step supervised face hallucination framework based on class-specific dictionary learning. Since the performance of learning-based face hallucination relies on its training set, an inappropriate training set (e.g., an input face image is very different from the training set) can reduce the visual quality of reconstructed high-resolution (HR) face significantly.
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![Microarray Spectral Clustering. Microarray Spectral Clustering.](https://sigport.org/sites/default/files/styles/list/public/Media%20Root/microarrayClustering.png?itok=m_m9DH7t)
Ph.D. Thesis by Donald McCuan (advisor Andrew Knyazev), Department of Mathematical and Statistical Sciences, University of Colorado Denver, 2012, originally posted at http://math.ucdenver.edu/theses/McCuan_PhdThesis.pdf (1126)
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![Spectral Image Segmentation Spectral Image Segmentation](https://sigport.org/sites/default/files/styles/list/public/Media%20Root/akSpectralSegmentation.png?itok=QUZpJ5_F)
- Read more about Multigrid Eigensolvers for Image Segmentation
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Presentation at LANL and UC Davis, 2009. Originally posted at http://math.ucdenver.edu/~aknyazev/research/conf/
LANL09.ppt
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![Spectral Clustering Eigenvalue Problem Spectral Clustering Eigenvalue Problem](https://sigport.org/sites/default/files/styles/list/public/Media%20Root/AlB.png?itok=ylj7KV_-)
- Read more about Novel data clustering for microarrays and image segmentation
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We develop novel algorithms and software on parallel computers for data clustering of large datasets. We are interested in applying our approach, e.g., for analysis of large datasets of microarrays or tiling arrays in molecular biology and for segmentation of high resolution images.
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- Read more about Approximate Message Passing in Coded Aperture Snapshot Spectral Imaging
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