The wavelet transform hierarchically decomposes images with prescribed bases, while multilineal models search for optimal bases to adapt visual data. In this paper, we integrate t...
Recent work has demonstrated the effectiveness of the wavelet decomposition in reducing large amounts of data to compact sets of wavelet coefficients (termed "wavelet synopse...
: Nowadays, the database characteristics, such as the huge volume of data, the complexity of the queries, and even the data availability, can demand minutes or hours to process a q...
Leonardo Guerreiro Azevedo, Rodrigo Salvador Monte...
Shift variance and poor directional selectivity, two major disadvantages of the discrete wavelet transform, have previously been circumvented either by using highly redundant, non...
Rutger L. van Spaendonck, Felix C. A. Fernandes, S...