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» An improvement on learning with local and global consistency
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CVPR
2010
IEEE
14 years 4 months ago
Nonparametric Higher-Order Learning for Interactive Segmentation
In this paper, we deal with a generative model for multi-label, interactive segmentation. To estimate the pixel likelihoods for each label, we propose a new higher-order formulatio...
Tae Hoon Kim (Seoul National University), Kyoung M...
ICML
2009
IEEE
14 years 8 months ago
Graph construction and b-matching for semi-supervised learning
Graph based semi-supervised learning (SSL) methods play an increasingly important role in practical machine learning systems. A crucial step in graph based SSL methods is the conv...
Tony Jebara, Jun Wang, Shih-Fu Chang
NN
1998
Springer
108views Neural Networks» more  NN 1998»
13 years 7 months ago
How embedded memory in recurrent neural network architectures helps learning long-term temporal dependencies
Learning long-term temporal dependencies with recurrent neural networks can be a difficult problem. It has recently been shown that a class of recurrent neural networks called NA...
Tsungnan Lin, Bill G. Horne, C. Lee Giles
ICRA
2008
IEEE
125views Robotics» more  ICRA 2008»
14 years 2 months ago
Place recognition-based fixed-lag smoothing for environments with unreliable GPS
— Pose estimation of outdoor robots presents some distinct challenges due to the various uncertainties in the robot sensing and action. In particular, global positioning sensors ...
Roozbeh Mottaghi, Michael Kaess, Ananth Ranganatha...
AGENTS
1997
Springer
14 years 3 days ago
Challenger: A Multi-agent System for Distributed Resource Allocation
In this paper we introduce Challenger, a multiagent system that performs completely distributed resource allocation. Challenger consists of agents which individually manage local ...
Anthony Chavez, Alexandros Moukas, Pattie Maes