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» Learning to Recognize Objects from Unseen Modalities
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ECCV
2008
Springer
15 years 11 months ago
Weakly Supervised Object Localization with Stable Segmentations
Multiple Instance Learning (MIL) provides a framework for training a discriminative classifier from data with ambiguous labels. This framework is well suited for the task of learni...
Carolina Galleguillos, Boris Babenko, Andrew Rabin...
IUI
2000
ACM
15 years 2 months ago
Expression constraints in multimodal human-computer interaction
Thanks to recent scientific advances, it is now possible to design multimodal interfaces allowing the use of speech and pointing out gestures on a touchscreen. However, present sp...
Sandrine Robbe-Reiter, Noelle Carbonell, Pierre Da...
MM
2004
ACM
170views Multimedia» more  MM 2004»
15 years 3 months ago
Effective automatic image annotation via a coherent language model and active learning
Image annotations allow users to access a large image database with textual queries. There have been several studies on automatic image annotation utilizing machine learning techn...
Rong Jin, Joyce Y. Chai, Luo Si
MLCW
2005
Springer
15 years 3 months ago
The 2005 PASCAL Visual Object Classes Challenge
The PASCAL Visual Object Classes Challenge ran from February to March 2005. The goal of the challenge was to recognize objects from a number of visual object classes in realistic s...
Mark Everingham, Andrew Zisserman, Christopher K. ...
IJCV
2000
180views more  IJCV 2000»
14 years 9 months ago
Probabilistic Models of Appearance for 3-D Object Recognition
We describe how to model the appearance of a 3-D object using multiple views, learn such a model from training images, and use the model for object recognition. The model uses pro...
Arthur R. Pope, David G. Lowe