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» The Weak Instance Model
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CVPR
2012
IEEE
13 years 3 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....
170
Voted
CP
2009
Springer
15 years 10 months ago
Weakly Monotonic Propagators
Abstract. Today's models for propagation-based constraint solvers require propagators as implementations of constraints to be at least contracting and monotonic. These models ...
Christian Schulte, Guido Tack
ICPR
2010
IEEE
15 years 3 months ago
The Detection of Concept Frames Using Clustering Multi-Instance Learning
Abstract—The classification of sequences requires the combination of information from different time points. In this paper the detection of facial expressions is considered. Exp...
David Tax, Michel Valstar
70
Voted
AAAI
2007
15 years 7 hour ago
Topological Mapping with Weak Sensory Data
In this paper, we consider the exploration of topological environments by a robot with weak sensory capabilities. We assume only that the robot can recognize when it has reached a...
Gregory Dudek, Dimitri Marinakis
ICASSP
2011
IEEE
14 years 1 months ago
Extended array method for detection and direction finding of a weak linear frequency modulated signal
A well known computationally efficient method for parameters estimation of linear frequency modulated (LFM) signals is to mix the received signals with a shifted version of itsel...
Songsri Sirianunpiboon