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NIPS
2008
14 years 11 months ago
Stochastic Relational Models for Large-scale Dyadic Data using MCMC
Stochastic relational models (SRMs) [15] provide a rich family of choices for learning and predicting dyadic data between two sets of entities. The models generalize matrix factor...
Shenghuo Zhu, Kai Yu, Yihong Gong
COMSWARE
2007
IEEE
15 years 4 months ago
ExPLoIT: Exploiting Past Location Information and Transitivity for positioning in mobile sensor networks
— We present a novel distributed range-free technique called ExPLoIT for estimating geographical location of sensor nodes in mobile sensor networks. ExPLoIT is the rst positioning...
Christophe Baraer, Kaustubh S. Phanse, Johan Nykvi...
IROS
2009
IEEE
156views Robotics» more  IROS 2009»
15 years 4 months ago
Nonparametric belief propagation for distributed tracking of robot networks with noisy inter-distance measurements
— We consider the problem of tracking multiple moving robots using noisy sensing of inter-robot and interbeacon distances. Sensing is local: there are three fixed beacons at kno...
Jeremy Schiff, Erik B. Sudderth, Kenneth Y. Goldbe...
CVPR
1999
IEEE
15 years 1 months ago
A New Bayesian Framework for Object Recognition
We introduce an approach to feature-based object recognition, using maximum a posteriori (MAP) estimation under a Markov random field (MRF) model. This approach provides an effici...
Yuri Boykov, Daniel P. Huttenlocher
84
Voted
ECCV
2006
Springer
15 years 11 months ago
Balanced Exploration and Exploitation Model Search for Efficient Epipolar Geometry Estimation
Abstract. The estimation of the epipolar geometry is especially difficult where the putative correspondences include a low percentage of inlier correspondences and/or a large subse...
Liran Goshen, Ilan Shimshoni