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» Evaluating algorithms that learn from data streams
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CHI
2011
ACM
14 years 10 months ago
Twitinfo: aggregating and visualizing microblogs for event exploration
Microblogs are a tremendous repository of user-generated content about world events. However, for people trying to understand events by querying services like Twitter, a chronolog...
Adam Marcus 0002, Michael S. Bernstein, Osama Bada...
NIPS
2008
15 years 8 months ago
Beyond Novelty Detection: Incongruent Events, when General and Specific Classifiers Disagree
Unexpected stimuli are a challenge to any machine learning algorithm. Here we identify distinct types of unexpected events, focusing on 'incongruent events' when 'g...
Daphna Weinshall, Hynek Hermansky, Alon Zweig, Jie...
ICIP
2008
IEEE
16 years 9 months ago
Supervised image segmentation via ground truth decomposition
This paper proposes a data driven image segmentation algorithm, based on decomposing the target output (ground truth). Classical pixel labeling methods utilize machine learning al...
Ilya Levner, Russell Greiner, Hong Zhang
CVPR
1999
IEEE
16 years 9 months ago
Vision-Based Speaker Detection Using Bayesian Networks
The development of user interfaces based on vision and speech requires the solution of a challenging statistical inference problem: The intentions and actions of multiple individu...
James M. Rehg, Kevin P. Murphy, Paul W. Fieguth
PAMI
2012
13 years 9 months ago
Monocular 3D Reconstruction of Locally Textured Surfaces
— Most recent approaches to monocular non-rigid 3D shape recovery rely on exploiting point correspondences and work best when the whole surface is well-textured. The alternative ...
Aydin Varol, Appu Shaji, Mathieu Salzmann, Pascal ...