A good training dataset, representative of the test images expected in a given application, is critical for ensuring good performance of a visual categorization system. Obtaining ...
Aniruddha Kembhavi, Behjat Siddiquie, Roland Miezi...
Scientists increasingly use ensemble data sets to explore relationships present in dynamic systems. Ensemble data sets combine spatio-temporal simulation results generated using mu...
Kristin Potter, Andrew Wilson, Peer-Timo Bremer, D...
Shading complex materials such as acquired reflectances in multilight environments is computationally expensive. Estimating the shading integral requires multiple samples of the ...
Mahdi M. Bagher, Cyril Soler, Kartic Subr, Laurent...
Phylogenetic footprinting is a comparative genomics approach for predicting transcription factor binding sites, where a set of orthologous regulatory regions are compared and short...
Minimum-entropy decoding is a universal decoding algorithm used in decoding block compression of discrete memoryless sources as well as block transmission of information across di...