Interpretation of electrocardiography (ECG) signals is required for diagnosing cardiac arrhythmia. Recently, machine learning techniques have been applied for automated computer-aided diagnosis. Machine learning tasks...
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This paper presents an automatic line-drawing method designed for building images. The fast line segment detector with a false detection control and detects the outline and the door, or window edge features detected, ...
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Temporal characteristics are prominently evident in a substantial volume of knowledge, which underscores the pivotal role of Temporal Knowledge Graphs (TKGs) in both academia and industry. However, TKGs often suffer f...
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In this paper, the influence of s-semipermutable, c~#-normal, subnormally embedded and ss-quasinormal subgroups on the p-nilpotency of finite groups is investigated and some recent results are generalized.
In this paper, the influence of s-semipermutable, c~#-normal, subnormally embedded and ss-quasinormal subgroups on the p-nilpotency of finite groups is investigated and some recent results are generalized.
Dephasing is a prominent noise mechanism that afflicts quantum information carriers, and it is one of the main challenges towards realizing useful quantum computation, communication, and sensing. Here we consider disc...
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Accurately interpreting image contents plays a vital role in many Earth observation tasks. This letter constructs a novel cross-context and cross-scale capsule vision transformer (C 2 -CapsViT) architecture to serve f...
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Accurately interpreting image contents plays a vital role in many Earth observation tasks. This letter constructs a novel cross-context and cross-scale capsule vision transformer (C 2 -CapsViT) architecture to serve for remote sensing image scene classification. First, employed with a multicontext patch embedding strategy, the token representation quality is greatly boosted to encode different-context feature semantics. Second, designed with a multiscale transformer block, different-grained long-range global feature interactions and different-type feature self-attentions are concurrently exploited to promote the feature encoding quality. Moreover, by combining the convolution and transformer structures, local and global feature semantics are effectively fused to direct accurate predictions. The C 2 -CapsViT is elaborately verified on three scene classification datasets. Both quantitative evaluations and comparative analyses prove its competitive capability and advanced performance.
Achieving personalized intelligence at the edge with real-time learning capabilities holds enormous promise in enhancing our daily experiences and helping decision making, planning, and sensing. However, efficient and...
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We establish an efficient approximation algorithm for the partition functions of a class of quantum spin systems at low temperature, which can be viewed as stable quantum perturbations of classical spin systems. Our a...
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In this paper, we study tail inequalities of the largest eigenvalue of a matrix infinitely divisible (i.d.) series, which is a finite sum of fixed matrices weighted by i.d. random variables. We obtain several types of...
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Algorithm selection wizards are effective and versatile tools that automatically select an optimization algorithm given high-level information about the problem and available computational resources, such as number an...
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