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Titlebook: Industrial Conflict and Democracy; The Last Chance Richard Clutterbuck Book 1984 Richard Clutterbuck 1984 conflict.democracy.economics.labo

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51#
發(fā)表于 2025-3-30 12:13:51 | 只看該作者
52#
發(fā)表于 2025-3-30 13:37:31 | 只看該作者
apers attracted an absolute record of 1,174 submissions. We describe here the selection of the accepted papers: Thirty-eight area chairs were selected coming from Europe (18), USA and Canada (16), and Asia (4). Their selection was based on the following criteria: (1) Researchers who had served at le
53#
發(fā)表于 2025-3-30 18:48:24 | 只看該作者
Richard Clutterbuckoposed approach is that it finds the salient boundaries of the repeating elements even when the repetition exists along only one direction. A perspective image is rectified based on vanishing points computed jointly from edges and repeated features detected in the original image by maximizing its ov
54#
發(fā)表于 2025-3-30 21:18:29 | 只看該作者
55#
發(fā)表于 2025-3-31 03:19:06 | 只看該作者
Richard Clutterbuckn - the maximum fraction of the diffuse color component (so called maximum diffuse chromaticity in the literature) in local patches in color images changes smoothly. Using this property, we can estimate the maximum diffuse chromaticity values of the specular pixels by directly applying low-pass filt
56#
發(fā)表于 2025-3-31 06:01:48 | 只看該作者
Richard Clutterbuckand rotation, i.e. large appearance changes. The memory-based particle filter (M-PF) is a recent extension of the particle filter, and incorporates a memory-based mechanism to predict prior distribution using past memory of target state sequence; it offers robust target tracking against complex moti
57#
發(fā)表于 2025-3-31 11:59:30 | 只看該作者
Richard Clutterbuckic classification, etc. Like other computer vision tasks, multi-label image and video annotations also suffer from the difficulty of high dimensionality because images often have a large number of features. Linear discriminant analysis (LDA) is a well-known method for dimensionality reduction. Howev
58#
發(fā)表于 2025-3-31 17:12:00 | 只看該作者
ion of body parts have recently been leveraged for improved human detection, ours is the first method that attempts to temporally constrain the location of human body parts with the express purpose of improving pedestrian tracking. We pose the problem of simultaneous tracking of multiple targets and
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