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CVPR
2012
IEEE
13 years 7 days ago
Weakly supervised structured output learning for semantic segmentation
We address the problem of weakly supervised semantic segmentation. The training images are labeled only by the classes they contain, not by their location in the image. On test im...
Alexander Vezhnevets, Vittorio Ferrari, Joachim M....
ESWS
2009
Springer
15 years 4 months ago
An Ontology of Resources: Solving the Identity Crisis
The primary goal of the Semantic Web is to use URIs as a universal space to name anything, expanding from using URIs for webpages to URIs for “real objects and imaginary concepts...
Harry Halpin, Valentina Presutti
DMIN
2010
262views Data Mining» more  DMIN 2010»
14 years 7 months ago
SMO-Style Algorithms for Learning Using Privileged Information
Recently Vapnik et al. [11, 12, 13] introduced a new learning model, called Learning Using Privileged Information (LUPI). In this model, along with standard training data, the tea...
Dmitry Pechyony, Rauf Izmailov, Akshay Vashist, Vl...
BMCBI
2010
163views more  BMCBI 2010»
14 years 10 months ago
Integration of open access literature into the RCSB Protein Data Bank using BioLit
Background: Biological data have traditionally been stored and made publicly available through a variety of on-line databases, whereas biological knowledge has traditionally been ...
Andreas Prlic, Marco A. Martinez, Dimitris Dimitro...
CLOUDCOM
2010
Springer
14 years 7 months ago
Scaling Populations of a Genetic Algorithm for Job Shop Scheduling Problems Using MapReduce
Inspired by Darwinian evolution, a genetic algorithm (GA) approach is one of the popular heuristic methods for solving hard problems, such as the Job Shop Scheduling Problem (JSSP...
Di-Wei Huang, Jimmy Lin