Time delay estimation is a basic building block of an acoustic source localization system. Such a system must cope with adverse acoustic conditions to be generally applicable, i.e. high reverberation times and low signal-to-noise ratios. In general, better results can be achieved if multiple channels are considered. We propose an extension of a mutual information based delay estimator to the mu...

We focus on the issue of learning the topology of the non-overlapping multi-camera network, which includes recovering the nodes (entry and exit zones), transition time distribution and links. Firstly, the nodes associated with each camera view are identified using clustering method. Then, transition time distribution is modeled as a Gaussian distribution and is computed by accumulated cross cor...

“To be considered for the 2017 IEEE Jack Keil Wolf ISIT Student Paper Award.” We consider the problem of estimating mutual information between dependent data, an important problem in many science and engineering applications. We propose a data-driven, non-parametric estimator of mutual information in this paper. The main novelty of our solution lies in transforming the data to frequency domain ...

Cross-lingual topic models have been prevalent for cross-lingual text analysis by revealing aligned latent topics. However, most existing methods suffer from producing repetitive topics that hinder further and performance decline caused low-coverage dictionaries. In this paper, we propose the Topic Modeling with Mutual Information (InfoCTM). Instead of direct alignment in previous work, a mutua...

We hypothesize that trust plays an important role in affecting the activeness and effectiveness of the global mutual fund industry. Empirically, trust is positively associated with the activeness of domestic funds, whereas for internationals mutual funds conducting cross-border investments activeness is bounded by the trust of lowtrust countries. In both cases, trust-related active share delive...