As a key characteristic in audio-visual speech recognition (AVSR), relating linguistic information observed across visual and audio data has been challenge, benefiting not only audio/visual (ASR/VSR) but also for manipulating within/across modalities. In this paper, we present feature disentanglement-based framework jointly addressing the above tasks. By advancing cross-modal mutual learning st...

Identifying the mutual interaction is a crucial problem that facilitates the understanding of emerging structures in Chinese stock markets. In this paper, we employ transfer entropy and detrended cross-correlation analysis (DCCA) measurement to investigate the mutual interactions of Chinese stock markets. Transfer entropy is a model-free approach in principle and allows us to detect statistical...

As a new business model of e-commerce,export cross-border e-commerce has a great significance to promotesustainable development of domestic economy and meet the demands of foreign consumers. With rapid development of export cross-border e-commerce in recent years, many problems occur that hinder its development, such as shortage of relevant professionals and lack of the innovation on business m...

Computational tools have enabled a relatively simple prediction of essential genes (EGs), which would otherwise be done by costly and tedious gene knockout experimental procedures. We present a machine learning based predictor using information-theoretic features derived exclusively from DNA sequences. We used entropy, mutual information, conditional mutual information, and Markov chain models ...

Quantum data processing inequality bounds the set of bipartite states that can be generated by two far apart parties under local operations; Having access to a bipartite state as a resource, two parties cannot locally transform it to another bipartite state with a mutual information greater than that of the resource state. But due to the additivity of quantum mutual information under tensor pro...

In this paper we present a detailed theoretical analysis of lateral and angular misalignment effects in RF coils. Radio-frequency (RF) coils are used extensively in the design of implantable devices for transdermal power and data transmission. A design procedure is established to maximize coil coupling for a given configuration to reduce the effects of misalignment on transmission efficiency. F...

This paper investigates the performance of copycat funds, which are free-riding on disclosed asset holdings of actively managed mutual funds. On average, copycat funds are able to marginally outperform their target mutual funds, but the relative success of copycat funds has increased after 2004, when SEC regulation imposed all mutual funds to quarterly disclose their holdings. We document a sub...

This paper examines the interaction of idiosyncratic risk, liquidity and return across time in determining fund performance, as well as across investment style portfolios of European mutual funds. This study utilizes a unique data set including returns for equity mutual funds registered in six European countries. Overall, using monthly data, we find that both liquidity and idiosyncratic risk ar...

Mutual information is useful in various data processing tasks such as feature selection or independent component analysis. In this paper, we propose a new method of approximating mutual information based on maximum likelihood estimation of a density ratio function. Our method, called Maximum Likelihood Mutual Information (MLMI), has several attractive properties, e.g., density estimation is not...