It is common to listen songs that match one's mood. Thus, an AI music recommendation system aware of the user's emotions likely provide a superior user experience one unaware. In this paper, we present emotion-aware system. Multiple models are discussed and evaluated for affect identification from live image user. We propose two models: DRViT, which applies dynamic routing vision transformers, ...

We study PAC learning in the presence of strategic manipulation, where data points may modify their features certain predefined ways order to receive a better outcome. show that vanilla ERM principle fails achieve any nontrivial guarantee this context. Instead, we propose an incentive-aware version which has asymptotically optimal sample complexity. then focus our attention on incentive-compati...

Computation has been pushed to the edge decrease latency and alleviate computational burden of IoT applications in cloud. However, increasing processing demands make necessary employment platforms that exploit thread-level parallelism (TLP). Yet, power heat dissipation rise as TLP inadvertently increases or when is not cleverly exploited, which may be result nonideal use a given parallel progra...

The growing threat of personal data breach in trading pinpoints an urgent need to develop countermeasures for preserving individual privacy. state-of-the-art work either endows the collector with responsibility privacy or reports only a privacy-preserving version data. basic assumption former approach that is trustworthy does not always hold true reality, whereas latter reduces value In this pa...