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165
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ECML
2006
Springer
15 years 9 months ago
Unsupervised Multiple-Instance Learning for Functional Profiling of Genomic Data
Multiple-instance learning (MIL) is a popular concept among the AI community to support supervised learning applications in situations where only incomplete knowledge is available....
Corneliu Henegar, Karine Clément, Jean-Dani...
4OR
2006
118views more  4OR 2006»
15 years 6 months ago
Dealing with inconsistent judgments in multiple criteria sorting models
Sorting models consist in assigning alternatives evaluated on several criteria to ordered categories. To implement such models it is necessary to set the values of the preference p...
Vincent Mousseau, Luis C. Dias, José Rui Fi...
172
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3DIM
2007
IEEE
16 years 13 days ago
3D laser measurement system for large scale architectures using multiple mobile robots
In order to construct three dimensional shape models of large scale architectures by a laser range finder, a number of range images are normally taken from various viewpoints and...
Ryo Kurazume, Yukihiro Tobata, Yumi Iwashita, Tsut...
TWC
2010
15 years 23 days ago
Adaptive linearly constrained minimum variance beamforming for multiuser cooperative relaying using the kalman filter
In this paper, we consider a wireless communication scenario with multiple source-destination pairs communicating through several cooperative amplify-and-forward relay terminals. T...
Amr El-Keyi, Benoît Champagne
ICCV
2001
IEEE
16 years 8 months ago
Multi-Frame Infinitesimal Motion Model for the Reconstruction of (Dynamic) Scenes with Multiple Linearly Moving Objects
We introduce new small-motion multi-frame equations applicable to the reconstruction of dynamic scenes in which points are allowed to move along straight-line paths with constant ...
Amnon Shashua, Anat Levin