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» Fast computation of distance estimators
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CVPR
2009
IEEE
17 years 1 months ago
Learning a Distance Metric from Multi-instance Multi-label Data
Multi-instance multi-label learning (MIML) refers to the learning problems where each example is represented by a bag/collection of instances and is labeled by multiple labels. ...
Rong Jin (Michigan State University), Shijun Wang...
CVPR
2006
IEEE
16 years 8 months ago
Recursive estimation of generative models of video
In this paper we present a generative model and learning procedure for unsupervised video clustering into scenes. The work addresses two important problems: realistic modeling of ...
Nemanja Petrovic, Aleksandar Ivanovic, Nebojsa Joj...
IROS
2008
IEEE
187views Robotics» more  IROS 2008»
16 years 21 days ago
Monocular visual odometry in urban environments using an omnidirectional camera
— We present a system for Monocular Simultaneous Localization and Mapping (Mono-SLAM) relying solely on video input. Our algorithm makes it possible to precisely estimate the cam...
Jean-Philippe Tardif, Yanis Pavlidis, Kostas Danii...
DAC
2004
ACM
15 years 11 months ago
Fast and accurate parasitic capacitance models for layout-aware
Considering layout effects early in the analog design process is becoming increasingly important. We propose techniques for estimating parasitic capacitances based on look-up tabl...
Anuradha Agarwal, Hemanth Sampath, Veena Yelamanch...
IMC
2004
ACM
15 years 11 months ago
Modeling distances in large-scale networks by matrix factorization
In this paper, we propose a model for representing and predicting distances in large-scale networks by matrix factorization. The model is useful for network distance sensitive app...
Yun Mao, Lawrence K. Saul