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» Extremal Problems of Information Combining
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ICCV
2009
IEEE
15 years 3 months ago
Incremental Multiple Kernel Learning for object recognition
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...
ICDM
2009
IEEE
141views Data Mining» more  ICDM 2009»
15 years 3 months ago
Ensemble-Vis: A Framework for the Statistical Visualization of Ensemble Data
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...
SI3D
2012
ACM
14 years 1 months ago
Interactive rendering of acquired materials on dynamic geometry using bandwidth prediction
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...
RECOMB
2001
Springer
16 years 5 months ago
Algorithms for phylogenetic footprinting
Phylogenetic footprinting is a comparative genomics approach for predicting transcription factor binding sites, where a set of orthologous regulatory regions are compared and short...
Mathieu Blanchette
DCC
2005
IEEE
16 years 5 months ago
Towards Practical Minimum-Entropy Universal Decoding
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...
Todd P. Coleman, Muriel Médard, Michelle Ef...