Short text conversation (STC) has emerged as a prominent research topic and gained considerable attention in recent years. While it is still an open problem whether the retrievalbased method should be replaced by or combined with generative models for STC task, the NTCIR-13 STC-2 Task provides a transparent platform to compare the two aforementioned methods via doing comprehensive evaluations. ...

Eye movement recordings produce large quantities of spatiotemporal data, and are more and more frequently used as an aid to gain further insight into human thinking in usability studies in GIScience domain among others. After reviewing some common visualization methods for eye movement data, the limitations of these methods are discussed. This paper proposes an approach that enables the use of ...

This study analyses the achievable cooperative diversity order of the distributed linear convolutional space-time coding (DLC-STC) scheme for time–frequency asynchronous cooperative networks. The authors first prove that perfect time or frequency synchronisation is impractical for cooperative networks with multiple relays serving multiple destinations even when the relays know all accurate time...

The general aim of the chapter is to provide the reader with an overview of some of the key developments in the field of linear model-based STC. It also includes an introduction to some of the definitions that allow the classification of the resulting STC forms. The definition of STC as being one form of adaptive control which requires two coupled sub-algorithms, one for on-line estimation of a...

Sensory neuroscience seeks to understand and predict how sensory neurons respond to stimuli. Nonlinear components of neural responses are frequently characterized by the second-order Wiener kernel and the closely-related spike-triggered covariance (STC). Recent advances in data acquisition have made it increasingly common and computationally intensive to compute second-order Wiener kernels/STC ...

Conventional methods used to characterize multidimensional neural feature selectivity, such as spike-triggered covariance (STC) or maximally informative dimensions (MID), are limited to Gaussian stimuli or are only able to identify a small number of features due to the curse of dimensionality. To overcome these issues, we propose two new dimensionality reduction methods that use minimum and max...

The cell-specific cytosolic delivery of functional macromolecules with high efficiency is of great significance in molecular medicine and biotechnology. Herein, we present a Shiga-like toxin II-based high-efficiency and receptor-specific intracellular delivery system. We designed and constructed the Shiga-like toxin-based carrier (STC) to comprise the targeting and translocation domains, and us...

This paper describes our approaches at NTCIR-12 short text conversation (STC) task (Chinese). For a new post, instead of considering post-comment similarity, our system focus on finding similar posts in the repository and retrieve their corresponding comments. Meanwhile, we choose frequency property of comments to adjust ranking models. Our best run achieves 0.4854 for mean P, 0.3367 for mean n...

The purpose of this contribution is to describe different methods for optimizing the VDSL2 upstream power back-off parameters. Distribution: ETSI STC TM6 working group members Status: For information This contribution has been prepared to assist ETSI Standards Committee STC TM6. This document is offered as a basis for discussions and is not a binding proposal of FTW. FTW specifically reserves t...

A simple method to enhance the performance of simplified decoding of block Space-Time Codes (STC) is proposed. The method is capable of removing the error floor observed when conventionally decoded STC is applied under fast fading conditions, provided that the channel is known, or accurately enough estimated, across the block. This requirement can be reached by interpolating channel estimates f...