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Filtering by: Contributor Soldatov, Alexey I. Subject Machine learning

Pixel- and Frame-level Video Labeling using Spatial and Temporal Convolutional Networks

Creator:

Lei, Peng

Abstract:

This dissertation addresses the problem of video labeling at both the frame and pixel levels using deep learning. For pixel-level video labeling, we have studied two problems: i) Spatiotemporal video segmentation and ii) Boundary detection and boundary flow estimation. For the problem of spatiotemporal video segmentation, we have developed recurrent...

Resource Type:

Dissertation

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using deep learning. For pixel-level video labeling, we have studied two problems: i) Spatiotemporal
Robust and Efficient Classification of Videos in the Wild

Creator:

Mahasseni, Behrooz

Abstract:

Recognizing human actions in videos is a long-standing problem in computer vision with a wide range of applications including video surveillance, content retrieval, and sports analysis. This thesis focuses on addressing efficiency and robustness of video classification in unconstrained real-world settings. The thesis work can be broadly divided into four...

Resource Type:

Dissertation

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Science Dean of the Graduate School I understand that my dissertation will become part of the permanent
Learning cost-sensitive diagnostic policies from data

Creator:

Zubek, Valentina Bayer

Abstract:

In its simplest form, the process of diagnosis is a decision-making process in which the diagnostician performs a sequence of tests culminating in a diagnostic decision. For example, a physician might perform a series of simple measurements (body tem- perature, weight, etc.) and laboratory measurements (white blood count, CT scan,...

Resource Type:

Dissertation

Full Text:

Engineering and Computer Science Dean of the Graduate School I understand that my dissertation will become