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ICML
2007
IEEE
16 years 5 months ago
On the relation between multi-instance learning and semi-supervised learning
Multi-instance learning and semi-supervised learning are different branches of machine learning. The former attempts to learn from a training set consists of labeled bags each con...
Zhi-Hua Zhou, Jun-Ming Xu
ICDAR
2009
IEEE
15 years 11 months ago
A Probabilistic Framework for Soft Target Learning in Online Cursive Handwriting Recognition
To develop effective learning algorithms for online cursive word recognition is still a challenge research issue. In this paper, we propose a probabilistic framework to model the ...
Xiaoyuan Zhu, Yong Ge, Feng-Jun Guo, Li-Xin Zhen
ICRA
2007
IEEE
168views Robotics» more  ICRA 2007»
15 years 10 months ago
A Multi-State Constraint Kalman Filter for Vision-aided Inertial Navigation
— In this paper, we present an Extended Kalman Filter (EKF)-based algorithm for real-time vision-aided inertial navigation. The primary contribution of this work is the derivatio...
Anastasios I. Mourikis, Stergios I. Roumeliotis
ILP
2007
Springer
15 years 10 months ago
Combining Clauses with Various Precisions and Recalls to Produce Accurate Probabilistic Estimates
Statistical Relational Learning (SRL) combines the benefits of probabilistic machine learning approaches with complex, structured domains from Inductive Logic Programming (ILP). W...
Mark Goadrich, Jude W. Shavlik
CCECE
2006
IEEE
15 years 10 months ago
Evolutionary Strategy Based Improved Motion Estimation Technique for H.264 Video Coding
In this paper we propose an improved motion estimation algorithm based on Evolutionary strategy (ES) for H.264 video codec applied to video. The proposed technique works in a para...
S. Mayuran, Warnakulasuriya Anil Chandana Fernando...