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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 1 months 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
16 years 5 days 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
16 years 5 days 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