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CVPR
2012
IEEE
13 years 8 months 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....
IADIS
2004
15 years 7 months ago
A CSP based ontology for a smart home
This paper addresses the problem of establishing collaboration between devices in a home environment, even when no previous knowledge is known or stored on the devices. It focuses...
José Ignacio Rendo Fernández, Iain W...
NOLISP
2007
Springer
16 years 13 days ago
Trajectory Mixture Density Networks with Multiple Mixtures for Acoustic-Articulatory Inversion
We have previously proposed a trajectory model which is based on a mixture density network (MDN) trained with target variables augmented with dynamic features together with an algo...
Korin Richmond
IM
2003
15 years 7 months ago
A Revenue-based Model for Making Resource Investment Decisions in IP Networks
: Capacity planning is a critical task in network management. It identifies how much capacity is needed to match future traffic demand. It directly affects customer satisfaction ...
Srinivasan Jagannathan, Jörn Altmann, Lee Rho...
BMCBI
2010
164views more  BMCBI 2010»
15 years 6 months ago
Gene regulatory networks modelling using a dynamic evolutionary hybrid
Background: Inference of gene regulatory networks is a key goal in the quest for understanding fundamental cellular processes and revealing underlying relations among genes. With ...
Ioannis A. Maraziotis, Andrei Dragomir, Dimitris T...