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Filtering by: Creator Turk, Greg Committee Member Todorovic, Sinisa

Painterly rendering using space-time varying style parameters

Creator:

Kagaya, Mizuki

Abstract:

Automatic painterly rendering systems have been proposed but they opted for selecting a single style to generate paintings from images, which lacks the ability of creatively using multiple styles to focus important objects and deemphasize unimportant part of the scenes. We provide a multi-style painting framework to address this issue...

Resource Type:

Masters Thesis

Full Text:

as it is. I have a great gratitude for Greg Turk, FreeFoto.com and Pics4Learning.com for various
On surrogate supervision multi-view learning

Creator:

Jin, Gaole

Abstract:

Data can be represented in multiple views. Traditional multi-view learning methods (i.e., co-training, multi-task learning) focus on improving learning performance using information from the auxiliary view, although information from the target view is sufficient for learning task. However, this work addresses a semi-supervised case of multi-view learning, the surrogate supervision...

Resource Type:

Masters Thesis

Full Text:

my defence. I thank my lab mates: Qi, Behrouz, Greg, Zeyu, Evgenia, Balaji, and Deepthi. Thank them