Zobrazeno 1 - 10
of 204
pro vyhledávání: '"Kai Wang"'
Publikováno v:
Fuzzy Sets and Systems. 425:18-33
In this paper, we generalize the concept of a monotone convergence space (also called a d-space) to the setting of a Q -cotopological space, where Q is a commutative and integral quantale. We establish a D-completion for every stratified Q -cotopolog
Publikováno v:
Neurocomputing. 456:190-199
Magnetic Resonance Imaging (MRI) has been widely used in clinical application and pathology research to help doctors provide better diagnoses. However, accurate diagnosis by MRI remains a great challenge, as images obtained via current MRI techniques
Publikováno v:
Neural Computing and Applications. 33:16181-16196
One of the greatest challenges for scene classification is the lack of sufficient training samples. Label distribution learning (LDL) is proven to be effective in handling insufficient samples by exploiting label ambiguity. However, LDL has never bee
Publikováno v:
Signal, Image and Video Processing. 15:1899-1906
For the interaction between marine robots and divers in the underwater environment, a method of diver’s gesture recognition and segmentation is proposed. This method first uses the progressive growing training method to optimize the generative adve
Publikováno v:
IEEE Transactions on Fuzzy Systems. 29:1409-1422
This article concerns the event-triggered fault detection filtering problem for nonlinear networked control systems. First, an event-triggered scheme with two trigger matrices is proposed by considering limited network resources; a fuzzy fault detect
Publikováno v:
Information Sciences. 560:331-346
Correspondence Selection (CS) identifies the reliable correspondences from the putative ones. It provides fundamental cues for many computer vision tasks , therefore the performance and efficiency of CS are pivotal. Previous methods are either accura
Publikováno v:
IEEE/CAA Journal of Automatica Sinica. 8:1015-1024
Stocks that are fundamentally connected with each other tend to move together. Considering such common trends is believed to benefit stock movement forecasting tasks. However, such signals are not trivial to model because the connections among stocks
Publikováno v:
Neural Networks. 136:54-62
Concurrent process-quality monitoring helps discover quality-relevant process anomalies and quality-irrelevant process anomalies. It especially works well in chemical plants with faults that cause quality problems. Traditional monitoring strategies a
Publikováno v:
IEEE Transactions on Instrumentation and Measurement. 70:1-11
Recently, deep-learning (DL)-based soft sensor has been widely applied to industrial processes, which plays a vital role for process monitoring, control, and optimization. However, most existing soft sensor models are established for only one quality
Publikováno v:
IEEE Signal Processing Letters. 28:872-876
Zero-shot learning (ZSL) aims to discriminate images from unseen classes by exploiting relations to seen classes via their attribute-based descriptions. Since attributes are often related to specific parts of objects, many recent works focus on disco