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Titlebook: Computer Vision - ECCV 2014 Workshops; Zurich, Switzerland, Lourdes Agapito,Michael M. Bronstein,Carsten Rothe Conference proceedings 2015

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31#
發(fā)表于 2025-3-26 23:25:39 | 只看該作者
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發(fā)表于 2025-3-27 12:46:58 | 只看該作者
Transplantation of other organsses, the visual community misses a large scale testbed for cross-dataset analysis. In this paper we discuss the challenges faced when aligning twelve existing image databases in a unique corpus, and we propose two cross-dataset setups that introduce new interesting research questions. Moreover, we r
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發(fā)表于 2025-3-28 04:07:46 | 只看該作者
Gong-Ru Lin,Yu-Chuan Su,Yu-Chieh Chile positive sample and all negative samples for the class. In this paper we develop a .?(MSL) model which enables joint regularization of the E-SVMs without any additional cost over the original ensemble learning. The advantage of the MSL model is that the degree of sharing between positive samples
39#
發(fā)表于 2025-3-28 08:18:48 | 只看該作者
The Current Trends of Optics and Photonicsfound recognition algorithms. In order to address this, we present an approach to discover action primitives, sub-categories of action classes, that allow us to model this intra-class variation. We learn action primitives and their interrelations in a multi-level spatio-temporal model for action rec
40#
發(fā)表于 2025-3-28 12:09:04 | 只看該作者
Gong-Ru Lin,Yu-Chuan Su,Yu-Chieh ChiED lights). The motion sequences are collected into MoCap action datasets, e.g., 1973 [.] and CMU [.] MoCap action datasets.) action data suggest that skeleton joint streams contain sufficient intrinsic information for understanding human body actions. With the advancement in depth sensors, e.g., Ki
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