檢索結果 - DING Bo

Zero-shot learning (ZSL) strives to classify unseen categories for which no data is available during training.At present, among generative methods, zero-shot learning based on joint generative model VAEGAN is a research hotspot.On this basis, we propose a zero-shot image classification method based...

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At present, view-based 3D model classification is a research hotspot. However, current methods produce many redundant views, and all views are treated equally, ignoring their differences and importance. To solve the above problems, we propose a multi-view fusion 3D model classification method. This...

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At present, 3D model classification has been a research hotspot. Massive 3D models not only have diversity in each class, but also have similarities between classes, which seriously affect the classification accuracy of 3D models. We propose a 3D model classification method based on contrastive lear...

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IT equipment is the largest electricity consumer in data centers. However, existing IT equipment energy consumption prediction methods can only capture temporal dependencies between features and cannot uncover spatial dependencies between features. Furthermore, these methods cannot dynamically pr...

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3D model retrieval based on representative views was proposed. On the view representation of the 3D model, in order to fully represent the model and reduce redundant information, we firstly adopt Light Field Descriptor (LFD) to generate 2D views, and then use K-MEANS to get representative views from...

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3D model retrieval with sketches as input is convenient for users to express their retrieval needs, and has become a research hotspot. However, a sketch which is only the rough description of a 3D model from a single viewpoint has high degree of abstraction. In addition, there are large domain di...

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With the development of artificial intelligence technology, the automatic reading system plays an increasingly important role in assisting the diagnosis of pathologists, improving the accuracy of pathology diagnosis and reducing labor intensity. Accurate segmentation of the nucleus is the primary fa...

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With the rapid expansion of data center infrastructure, the energy consumption has become a major concern. Reducing data center power consumption and improving energy efficiency are crucial. This paper proposes a power-efficient data center temperature prediction model based on Gated Recurrent Unit...

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