نتایج جستجو برای: contrastive and tempral
تعداد نتایج: 16827575 فیلتر نتایج به سال:
The effects of pitch accenting on memory were investigated in three experiments. Participants listened to short recorded discourses that contained contrast sets with two items (e.g. British scientists and French scientists); a continuation specified one item from the set. Pitch accenting on the critical word in the continuation was manipulated between non-contrastive (H* in the ToBI system) and...
In this paper, I outline an account of the structure perceptual justification that develops Wittgenstein's thought possibility acquiring any degree for our beliefs depends on placing certain propositions outside route empirical inquiry, turning them into “hinges” rational evaluations. The proposal is akin to “moderate” accounts justification; however, it conjoins insight with explanationist and...
The prosody of focus: non-contrastive, contrastive and verum focus in Slovenian, English and Russian
CONTRASTIVE TOPIC: MEANINGS AND REALIZATIONS
Foreword This report originated in a paper I was to write with Lauri Carlson on the semantics of tense and aspect, and which never became ready, since the formalization part could not be made good enough in the required schedule ((rst trimester of 1991). In the original paper, I tried to describe the data and propose a theory of my own. Now I decided to select only the description of the proble...
The development of unsupervised hashing is advanced by the recent popular contrastive learning paradigm. However, previous learning-based works have been hampered (1) insufficient data similarity mining based on global-only image representations, and (2) hash code semantic loss caused augmentation. In this paper, we propose a novel method, namely Weighted Contrative Hashing (WCH), to take step ...
AbstractThe success of deep learning is usually accompanied by the growth in neural network depth. However, traditional training method only supervises at its last layer and propagates supervision layer-by-layer, which leads to hardship optimizing intermediate layers. Recently, has been proposed add auxiliary classifiers layers networks. By these with supervised task loss, can be applied shallo...
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