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ICCV
2009
IEEE
15 years 2 months ago
Semi-Supervised Random Forests
Random Forests (RFs) have become commonplace in many computer vision applications. Their popularity is mainly driven by their high computational efficiency during both training ...
Christian Leistner, Amir Saffari, Jakob Santner, H...
ICDM
2009
IEEE
112views Data Mining» more  ICDM 2009»
14 years 4 months ago
Resolving Identity Uncertainty with Learned Random Walks
A pervasive problem in large relational databases is identity uncertainty which occurs when multiple entries in a database refer to the same underlying entity in the world. Relati...
Ted Sandler, Lyle H. Ungar, Koby Crammer
VMV
2008
107views Visualization» more  VMV 2008»
13 years 11 months ago
Learning with Few Examples using a Constrained Gaussian Prior on Randomized Trees
Machine learning with few training examples always leads to over-fitting problems, whereas human individuals are often able to recognize difficult object categories from only one ...
Erik Rodner, Joachim Denzler
VOTEID
2007
Springer
14 years 4 months ago
Bingo Voting: Secure and Coercion-Free Voting Using a Trusted Random Number Generator
It is debatable if current direct-recording electronic voting machines can sufficiently be trusted for a use in elections. Reports about malfunctions and possible ways of manipulat...
Jens-Matthias Bohli, Jörn Müller-Quade, ...
IPPS
1998
IEEE
14 years 2 months ago
A Molecular Quasi-Random Model of Computations Applied to Evaluate Collective Intelligence
The paper presents how the Random PROLOG Processor (RPP), a bio-inspired model of computations, can be used for formalization and analysis of a phenomenon - the Collective Intelli...
Tadeusz Szuba