Zero-shot video recognition (ZSVR) is a task that aims to recognize vide...
The past decade has witnessed the flourishing of a new profession as med...
The advance of computer-aided detection systems using deep learning open...
Time series motif discovery has been a fundamental task to identify
mean...
The task of testing whether two uncharacterized devices behave in the sa...
Graph Convolutional Network (GCN) plays pivotal roles in many real-world...
Deep neural networks are a powerful tool for characterizing quantum stat...
Dynamic graphs with ordered sequences of events between nodes are preval...
In the last fifteen years, data series motif and discord discovery have
...
Data series motif discovery represents one of the most useful primitives...
In this paper we develop a novel recommendation model that explicitly
in...
Empathetic conversational models have been shown to improve user satisfa...
Empathetic dialogue systems have been shown to improve user satisfaction...
Since its introduction, unsupervised representation learning has attract...
The UCR Time Series Archive - introduced in 2002, has become an importan...
The discovery of time series motifs has emerged as one of the most usefu...
Humans are able to identify a referred visual object in a complex scene ...
Competing with top human players in the ancient game of Go has been a
lo...
Common visual recognition tasks such as classification, object detection...