Sciweavers

JMLR
2012
12 years 2 months ago
Structured Output Learning with High Order Loss Functions
Often when modeling structured domains, it is desirable to leverage information that is not naturally expressed as simply a label. Examples include knowledge about the evaluation ...
Daniel Tarlow, Richard S. Zemel
ICCV
2011
IEEE
13 years 13 days ago
From Learning Models of Natural Image Patches to Whole Image Restoration
Learning good image priors is of utmost importance for the study of vision, computer vision and image processing applications. Learning priors and optimizing over whole images can...
Daniel Zoran, Yair Weiss
RECOMB
2011
Springer
13 years 3 months ago
Haplotype Reconstruction in Large Pedigrees with Many Untyped Individuals
Abstract. Haplotypes, as they specify the linkage patterns between dispersed genetic variations, provide important information for understanding the genetics of human traits. Howev...
Xin Li, Jing Li
PARA
1998
Springer
14 years 4 months ago
Technologies for Teracomputing: A European Option
Abstract. Ahardware and software environment with performance above 1 Tera ops (teracomputing) is presently required to face the leading computational challenges not only in fundam...
Agostino Mathis