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Learning structural SVMs and its applications in computer visionKuang, Zhanghui, 旷章辉 January 2014 (has links)
Many computer vision problems involve building automatic systems by extracting complex high-level information from visual data. Such problems can often be modeled using structural models, which relate raw input variables to structural high-level output variables. Structural support vector machine is a discriminative method for learning structural models. It allows a flexible feature construction with good robustness against overfitting, and thus provides state-of-the-art prediction accuracies for structural prediction tasks in computer vision.
This thesis first studies the application of structural SVMs in interactive image segmentation. A novel interactive image segmentation technique that automatically learns segmentation parameters tailored for each and every image is proposed. Unlike existing work, the proposed method does not require any offline parameter tuning or training stage, and is capable of determining image-specific parameters according to some simple user interactions with the target image. The segmentation problem is modeled as an inference of a conditional random field (CRF) over a segmentation mask and the target image.
This CRF is parametrized by the weights for different terms (e.g., color, texture and smoothing). These weight parameters are learned via a one-slack structural SVM, which is solved using a constraint approximation scheme and the cutting plane algorithm. Experimental results show that the proposed method, by learning image-specific parameters automatically, outperforms other state-of-the-art interactive
image segmentation techniques.
This thesis then uses structural SVMs to speed up large scale relatively-paired space analysis. A new multi-modality analysis technique based on relatively-paired observations from multiple modalities is proposed. Relative-pairing information is encoded using relative proximities of observations in a latent common space. By building a discriminative model and maximizing a distance margin, a projection function that maps observations into the latent common space is learned for each modality. However, training based on large scale relatively-paired observations could be extremely time consuming. To this end, the training is reformulated as learning a structural model, which can be optimized by the cutting plane algorithm where only a few training samples are involved in each iteration. Experimental results validate the effectiveness and efficiency of the proposed technique. / published_or_final_version / Computer Science / Doctoral / Doctor of Philosophy
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Exo-electron emission from plastically strained and fatigue damaged metalsOtt, William E., 1945- January 1971 (has links)
No description available.
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An educational device for relating electromagnetic torque to variations in self-inductancePorter, Newell Samuel, 1933- January 1959 (has links)
No description available.
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Parallax : volume management for virtual machinesMeyer, Dutch Thomassen 11 1900 (has links)
Parallax is a distributed storage system that uses virtualization to provide storage facilities specifically for virtual environments. The system employs a novel archi-tecture in which storage features that have traditionally been implemented directly on high-end storage arrays and switches are relocated into a federation of storage VMs, sharing the same physical hosts as the VMs that they serve. This architecture retains the single administrative domain and OS agnosticism achieved by array- and switch-based approaches, while lowering the bar on hardware requirements and facilitating the development of new features. Parallax offers a comprehensive set of storage features including frequent, low-overhead snapshot of virtual disks, the “gold-mastering” of template images, and the ability to use local disks as a persistent cache to dampen burst demand on networked storage.
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Slimming virtual machines based on filesystem profile dataNickurak, Jeremy Unknown Date
No description available.
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A study of information control in computer-aided instructionDexter, Margaret Elizabeth 08 1900 (has links)
No description available.
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A computer controlled system for testing an integrated circuit automatic washer timerVogt, Stephen Wayne 12 1900 (has links)
No description available.
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Improvement of surface finish quality in peripheral milling VIA precision compensation for cutter runoutHerman, Paul Andrew 05 1900 (has links)
No description available.
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Efficiency analysis of the cyclone separator using CFD techniquesVincent, Raymond A., Jr. 08 1900 (has links)
No description available.
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Cushion drag of air cushion vehicles.Seebohm, Thomas January 1967 (has links)
No description available.
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