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Titlebook: Industrial Crisis and the Open Economy; Politics, Global Tra Geoffrey R. D. Underhill Book 1998 Geoffrey R. D. Underhill 1998 competition.G

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發(fā)表于 2025-3-21 17:04:12 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Industrial Crisis and the Open Economy
副標(biāo)題Politics, Global Tra
編輯Geoffrey R. D. Underhill
視頻videohttp://file.papertrans.cn/464/463972/463972.mp4
叢書名稱International Political Economy Series
圖書封面Titlebook: Industrial Crisis and the Open Economy; Politics, Global Tra Geoffrey R. D. Underhill Book 1998 Geoffrey R. D. Underhill 1998 competition.G
描述Written in the context of contemporary theoretical debate in international political economy, this book overturns a number of myths about the political economy of trade in one of the oldest areas of industry. In this way the author systematically links the changing characteristics of the trade regime to structural change and adjustment in global industry. He argues that state policy processes, international regimes and the industrial adjustment strategies of firms must be conceptualised as integrated processes of governance cutting across levels of analysis in the global political economy.
出版日期Book 1998
關(guān)鍵詞competition; Governance; International Political Economy; political economy; structural change
版次1
doihttps://doi.org/10.1007/978-1-349-26903-7
isbn_softcover978-1-349-26905-1
isbn_ebook978-1-349-26903-7Series ISSN 2662-2483 Series E-ISSN 2662-2491
issn_series 2662-2483
copyrightGeoffrey R. D. Underhill 1998
The information of publication is updating

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Capturing the Global Trade Regime, the textile and clothing sector. As import competition intensified across the global economy, domestic adjustment policies across the OECD economies diminished in terms of their utility in controlling the adjustment process. The result was that increasing attention was paid to developing a firmly p
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ower resolution of the feature maps. After obtaining distinct class saliency maps, we apply fully-connected CRF by using the class maps as unary potentials. By the experiments, we show that the proposed method has outperformed state-of-the-art results with the PASCAL VOC 2012 dataset under the weakl
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Geoffrey R. D. Underhill in a single forward pass. Our approach significantly outperforms previous approaches based on global descriptors on standard datasets. It even surpasses most prior works based on costly local descriptor indexing and spatial verification. Additional material is available at ..
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Geoffrey R. D. Underhillion LSTM (A-LSTM) and refinement LSTM (R-LSTM) models are introduced in RAR. At each recurrent stage, A-LSTM implicitly identifies a reliable landmark as the attention center. Following the sequence of attention centers, R-LSTM sequentially refines the landmarks near or correlated with the attention
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