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Filtering by: Subject Signal processing -- Mathematical models Committee Member Tadepalli, Prasad

Activity recognition in desktop environments

Creator:

Shen, Jianqiang

Abstract:

Knowledge workers are struggling in the information flood. There is a growing interest in intelligent desktop environments that help knowledge workers organize their daily life. Intelligent desktop environments allow the desktop user to define a set of “activities” that characterize the user’s desktop work. These environments then attempt to identify...

Resource Type:

Dissertation

Full Text:

subgraphs. After finding the workflow models, we create a Logical Hidden Markov Model (LHMM) for each mined
Image features and learning algorithms for biological, generic and social object recognition

Creator:

Zhang, Wei

Abstract:

Automated recognition of object categories in images is a critical step for many real-world computer vision applications. Interest region detectors and region descriptors have been widely employed to tackle the variability of objects in pose, scale, lighting, texture, color, and so on. Different types of object recognition problems usually require...

Resource Type:

Dissertation

Full Text:

with Dietterich, T., contributed the codebook learning algorithm and the logistic model trees
Image feature detection and matching for biological object recognition

Creator:

Deng, Hongli

Abstract:

Image feature detection and matching are two critical processes for many computer vision tasks. Currently, intensity-based local interest region detectors and local feature-based matching methods are used widely in computer vision applications. But in some applications, such as biological object recognition tasks, within-class changes in pose, lighting, color, and texture...

Resource Type:

Dissertation

Full Text:

. 6.2 and 6.12. . . . . . . . . . 106 7.1 Various types of spatial models. (a) Constellation model. (b