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Mutual recognition: comparing policy areas
Journal of European Public Policy, 2007Abstract Based on the analysis of the different policy areas discussed in this volume, this article proposes a strategic choice argument to account for the differential outcomes in the establishing of mutual recognition and, if instituted, for the divergent outcomes of its implementation in the different policy areas.
exaly +4 more sources
2016
The chapter deals with mutual recognition offences. It is divided into three sections and includes concluding observations at the end. Section 13.1 introduces the list of 32 mutual recognition offences. Section 13.2 analyses offences harmonised at the European Union level. In addition, Sect.
L. Klimek
openaire +2 more sources
The chapter deals with mutual recognition offences. It is divided into three sections and includes concluding observations at the end. Section 13.1 introduces the list of 32 mutual recognition offences. Section 13.2 analyses offences harmonised at the European Union level. In addition, Sect.
L. Klimek
openaire +2 more sources
New Journal of European Criminal Law, 2022
In a Europe without borders, where assets and capital move freely, the effectiveness of freezing and confiscation orders presupposes close cooperation between Member States. Normally harmonisation precedes mutual recognition.
Sandra Oliveira e Silva
semanticscholar +1 more source
In a Europe without borders, where assets and capital move freely, the effectiveness of freezing and confiscation orders presupposes close cooperation between Member States. Normally harmonisation precedes mutual recognition.
Sandra Oliveira e Silva
semanticscholar +1 more source
Journal of constructivist psychology, 2022
This paper explores the intersubjective process of mutual recognition, drawing on a narrative-hermeneutic elaboration of Kelly’s personal construct theory.
G. Chiari
semanticscholar +1 more source
This paper explores the intersubjective process of mutual recognition, drawing on a narrative-hermeneutic elaboration of Kelly’s personal construct theory.
G. Chiari
semanticscholar +1 more source
IEEE Transactions on Affective Computing, 2023
The detection of mild depression is conducive to the early intervention and treatment of depression. This study explored the fusion of electroencephalography (EEG) and pupil area signals to build an effective and convenient mild depression recognition ...
Jing Zhu +6 more
semanticscholar +1 more source
The detection of mild depression is conducive to the early intervention and treatment of depression. This study explored the fusion of electroencephalography (EEG) and pupil area signals to build an effective and convenient mild depression recognition ...
Jing Zhu +6 more
semanticscholar +1 more source
Self-Mutual Distillation Learning for Continuous Sign Language Recognition
IEEE International Conference on Computer Vision, 2021In recent years, deep learning moves video-based Continuous Sign Language Recognition (CSLR) significantly forward. Currently, a typical network combination for CSLR includes a visual module, which focuses on spatial and short-temporal information ...
Aiming Hao, Yuecong Min, Xilin Chen
semanticscholar +1 more source
MEN: Mutual Enhancement Networks for Sign Language Recognition and Education
IEEE Transactions on Neural Networks and Learning Systems, 2022The performance of existing sign language recognition approaches is typically limited by the scale of training data. To address this issue, we propose a mutual enhancement network (MEN) for joint sign language recognition and education.
Zhengzhe Liu, Lei Pang, Xiaojuan Qi
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Learning Mutual Correlation in Multimodal Transformer for Speech Emotion Recognition
Interspeech, 2021Various studies have confirmed the necessity and benefits of leveraging multimodal features for SER, and the latest research results show that the temporal information captured by the transformer is very useful for improving multimodal speech emotion ...
Yuhua Wang +4 more
semanticscholar +1 more source
IEEE International Conference on Computer Vision, 2021
General face recognition has seen remarkable progress in recent years. However, large age gap still remains a big challenge due to significant alterations in facial appearance and bone structure.
Xuege Hou, Yali Li, Shengjin Wang
semanticscholar +1 more source
General face recognition has seen remarkable progress in recent years. However, large age gap still remains a big challenge due to significant alterations in facial appearance and bone structure.
Xuege Hou, Yali Li, Shengjin Wang
semanticscholar +1 more source