Subsampling algorithms are a natural approach to reduce data size before fitting models on massive datasets. In recent years, several works have proposed methods for subsampling rows from matrix while maintaining relevant information classification. While these supported by theory and limited experiments, date there has not been comprehensive evaluation of methods. our work, we directly compare...

When masking one-dimensional gratings, the strongest masking effect is achieved by using one-dimensional spatial noise, which can be regarded as a special case of two-dimensional noise where the noise check height is equal to the grating height. The extent of spatial integration in the human visual system is limited, however. Hence, our aim was to investigate whether the effective height of noi...

Non-binary Low-Density Parity-Check (NB-LDPC) codes have become an efficient alternative to their binary counterparts in different scenarios such as: moderate codeword lengths, high order modulations and burst error correction. Unfortunately, the complexity of NB-LDPC decoders is still too high for practical applications, especially for the check node processing, which limits the maximum achiev...

Predicting the next location of a user based on their previous visiting pattern is one of the primary tasks over data from location based social networks (LBSNs) such as Foursquare. Many different aspects of these so-called “check-in” profiles of a user have been made use of in this task, including spatial and temporal information of check-ins as well as the social network information of the us...