This paper describes our participation in the NTCIR-12 Temporalia-2 task including Temporal Intent Disambiguation (TID) and Temporally Diversified Retrieval (TDR) subtasks. In the TID subtask, we extract linguistic features from the query, time distance features and multinomial distribution of the query n-grams which are then combined using a rule based voting method to estimate a probability d...

Spatio-temporal local feature based bag of visual words algorithm (BOVW) has shown promising results in complex human action classification. However, one key disadvantage of BOVW is geometrical unconstraint, which makes it impossible to recognize different actions with the same features but different spatial-temporal distribution of these features. In this paper, we exploit the spatio-temporal ...

The hyperpolarization-activated cation current I(h) exhibits a steep gradient of channel density in dendrites of pyramidal neurons, which is associated with location independence of temporal summation of EPSPs at the soma. In striking contrast, here we show by using dendritic patch-clamp recordings that in cerebellar Purkinje cells, the principal neurons of the cerebellar cortex, I(h) exhibits ...

background and aim: this study investigated whether objective temporal processing paradigms including voice-onset-time, speech-in-noise, and amplitude modulated-broad-band noise (am-bbn) are sensitive to disrupted temporal processing in elderly listeners with normal hearing (age-related-temporal processing deficit). methods: we evaluated 15 adults aged 64–80 years using behavioural measures of ...

Traditional information retrieval systems do not perform well in satisfying temporal users’ information needs. In this paper, we propose a temporal ranking model based on integrating temporal term specificity into a probabilistic ranking model for satisfying query time preferences. Implicit query time preferences are first derived using a temporal query profile, defined as being the distributio...

as google analytics becomes increasingly popular, more detailed records of users’ behaviors can be captured and analyzed to better understand the performance of websites. however, current google analytics related research usually draws conclusions from rough estimation based on the observation of the dashboard or other basic statistical processing of the data. this study aims to provide a more ...

Flexible spatio-temporal models are widely used to create reliable and accurate estimates for precipitation climatologies. Most models are based on square root transformed monthly or annual means, where a normal distribution seems to be appropriate. This assumption becomes invalid on a daily time scale as the observations involve large fractions of zero observations and are limited to non-negat...

the rapid change of land use and land cover in the metropolitan area of tehran has influenced the distribution pattern of land surface temperature (lst). in this study, a spatial autocorrelation analysis is adopted to process the spatial-temporal changes of lst and normalized difference vegetation index (ndvi) in tehran during the period of 1987 to 2010. global spatial autocorrelation analysis ...