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ICDAR
2007
IEEE
14 years 2 months ago
Energy-Based Models in Document Recognition and Computer Vision
The Machine Learning and Pattern Recognition communities are facing two challenges: solving the normalization problem, and solving the deep learning problem. The normalization pro...
Yann LeCun, Sumit Chopra, Marc'Aurelio Ranzato, Fu...
BIRTHDAY
2005
Springer
14 years 1 months ago
Reduction Strategies for Left-Linear Term Rewriting Systems
Huet and L´evy (1979) showed that needed reduction is a normalizing strategy for orthogonal (i.e., left-linear and non-overlapping) term rewriting systems. In order to obtain a de...
Yoshihito Toyama
DCC
2008
IEEE
14 years 7 months ago
From graph states to two-graph states
The name `graph state' is used to describe a certain class of pure quantum state which models a physical structure on which one can perform measurement-based quantum computin...
Constanza Riera, Stéphane Jacob, Matthew G. Parke...
ICPR
2002
IEEE
14 years 8 months ago
On the Equivalence of Local-Mode Finding, Robust Estimation and Mean-Shift Analysis as Used in Early Vision Tasks
In this paper we show the equivalence of three techniques used in image processing: local-mode finding, robust-estimation and mean-shift analysis. The computational common element...
Rein van den Boomgaard, Joost van de Weijer
DOLAP
2003
ACM
14 years 29 days ago
Attribute value reordering for efficient hybrid OLAP
The normalization of a data cube is the process of choosing an ordering for the attribute values, and the chosen ordering will affect the physical storage of the cube’s data. For...
Owen Kaser, Daniel Lemire