This paper describes an automatic drum transcription (ADT) method that directly estimates a tatum-level score from music signal in contrast to most conventional ADT methods estimate the frame-level onset probabilities of drums. To score, we propose deep model consists encoder for extracting latent features and decoder estimating pooled at tatum level. capture global repetitive structure scores,...

Single-image super-resolution (SR) has long been a research hotspot in computer vision, playing crucial role practical applications such as medical imaging, public security and remote sensing imagery. However, all currently available methods focus on reconstructing texture details, resulting blurred edges incomplete structures the reconstructed images. To address this problem, an edge-enhanceme...

How to learn long-range dependencies from 3D point clouds is a challenging problem in cloud analysis. Addressing this problem, we propose global attention network for semantic segmentation, named as GA-Net, consisting of point-independent module and point-dependent obtaining contextual information paper. The simply shares map all points. In the module, each point, novel random cross block using...

As time series data with internal correlation, networks traffic can be used for abnormal detection using Recurrent Neural Network (RNN) and its variants, but existing models are difficult to calculate in parallel, gradient explosion or vanishing easily occurs. To address this problem, we propose a Bidirectional Independent (BiIndRNN) parallel computation adjustable gradient, which extract the b...

Entity alignment (EA) is the task to discover entities referring same real-world object from different knowledge graphs (KGs), which most crucial step in integrating multi-source KGs. The majority of existing embedding-based entity methods embed and relations into a vector space based on relation triples KGs for local alignment. As these insufficiently consider multiple between entities, struct...

Clinical evidence suggests that control mechanisms for local and global attention are lateralized in the temporal-parietal cortex. However, in the human occipital (visual) cortex, the evidence for lateralized local/global attention is controversial. To clarify this matter, we used functional MRI to map activity in the human occipital cortex, during local and global attention, with sustained vis...