Deep learning has led to unprecedented successes in solving some very difficult problems in domains such as computer vision, natural language processi...

Streaming processing is an important and growing class of applications for analyzing continuous streams in real time. In such applications, sliding-wi...

Spiking neural networks (SNN) offer a power efficient, biologically plausible learning paradigm by encoding information into spikes. The discovery of...

Deep neural networks have demonstrated their great potential in recent years, exceeding the performance of human experts in a wide range of applicatio...

The t-Distributed Stochastic Neighbor Embedding (t-SNE) is a widely used technique for dimensionality reduction but is limited by its scalability when...