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The problem of recognition of clinical high-risk states is hampering the prevention of schizophrenia. [PDF]
World PsychiatryWoods SW.
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Assessing the Reliability, Accuracy, and Relevance of Artificial Intelligence Speech Recognition for Clinical Documentation: A Scoping Review. [PDF]
J Eval Clin PractAtiku S, Owolanke K, Olakotan O.
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A Supervised Contrastive Variational Autoencoder with Probabilistic Latent Alignment for Cross-Domain EEG Emotion Recognition. [PDF]
Sensors (Basel)Wu L +5 more
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Recognition beyond recognition!
Interventions, 2023This essay focuses on the subject position of settler colonizers to interpret the developing global politics of Indigenous recognition in the settler societies and in Australia in particular. It focuses on the dynamics of recognition in the specific context of Indigenous–settler relations, on the contribution settlers may make to decolonial passages ...
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IEEE Transactions on Pattern Analysis and Machine Intelligence, 2013
In this paper, we introduce visual phrases, complex visual composites like "a person riding a horse." Visual phrases often display significantly reduced visual complexity compared to their component objects because the appearance of those objects can change profoundly when they participate in relations.
Ali Farhadi, Mohammad Amin Sadeghi
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In this paper, we introduce visual phrases, complex visual composites like "a person riding a horse." Visual phrases often display significantly reduced visual complexity compared to their component objects because the appearance of those objects can change profoundly when they participate in relations.
Ali Farhadi, Mohammad Amin Sadeghi
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Nursing Standard, 2017
Nurses and nursing students gathered for a night of celebration at the annual Cavell Nurses' Trust (CNT) Awards in London on 22 June.
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Nurses and nursing students gathered for a night of celebration at the annual Cavell Nurses' Trust (CNT) Awards in London on 22 June.
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Correlation Pattern Recognition for Face Recognition
Proceedings of the IEEE, 2006Two-dimensional (2-D) face recognition (FR) is of interest in many verification (1:1 matching) and identification (1:N matching) applications because of its nonintrusive nature and because digital cameras are becoming ubiquitous. However, the performance of 2-D FR systems can be degraded by natural factors such as expressions, illuminations, pose, and ...
Bhagavatula V. K. Vijaya Kumar +2 more
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