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» Learning How to Propagate Using Random Probing
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ECCV
2004
Springer
14 years 9 months ago
Probabilistic Multi-view Correspondence in a Distributed Setting with No Central Server
Abstract. We present a probabilistic algorithm for finding correspondences across multiple images. The algorithm runs in a distributed setting, where each camera is attached to a s...
Shai Avidan, Yael Moses, Yoram Moses
MOBICOM
2010
ACM
13 years 8 months ago
Did you see Bob?: human localization using mobile phones
Finding a person in a public place, such as in a library, conference hotel, or shopping mall, can be difficult. The difficulty arises from not knowing where the person may be at t...
Ionut Constandache, Xuan Bao, Martin Azizyan, Romi...
NIPS
2004
13 years 9 months ago
Co-Validation: Using Model Disagreement on Unlabeled Data to Validate Classification Algorithms
In the context of binary classification, we define disagreement as a measure of how often two independently-trained models differ in their classification of unlabeled data. We exp...
Omid Madani, David M. Pennock, Gary William Flake
CVPR
2010
IEEE
14 years 1 months ago
ARISTA - Image Search to Annotation on Billions of Web Photos
Though it has cost great research efforts for decades, object recognition is still a challenging problem. Traditional methods based on machine learning or computer vision are stil...
Xin-Jing Wang, Ming Liu, Lei Zhang, Yi Li, Wei-Yin...
JMLR
2008
209views more  JMLR 2008»
13 years 7 months ago
Bayesian Inference and Optimal Design for the Sparse Linear Model
The linear model with sparsity-favouring prior on the coefficients has important applications in many different domains. In machine learning, most methods to date search for maxim...
Matthias W. Seeger