Sciweavers

359 search results - page 14 / 72
» A Constrained Semi-supervised Learning Approach to Data Asso...
Sort
View
ICML
2006
IEEE
14 years 8 months ago
Data association for topic intensity tracking
We present a unified model of what was traditionally viewed as two separate tasks: data association and intensity tracking of multiple topics over time. In the data association pa...
Andreas Krause, Jure Leskovec, Carlos Guestrin
ICRA
2009
IEEE
125views Robotics» more  ICRA 2009»
14 years 2 months ago
A novel method for learning policies from constrained motion
— Many everyday human skills can be framed in terms of performing some task subject to constraints imposed by the environment. Constraints are usually unobservable and frequently...
Matthew Howard, Stefan Klanke, Michael Gienger, Ch...
AI
2003
Springer
14 years 29 days ago
Explanation-Oriented Association Mining Using a Combination of Unsupervised and Supervised Learning Algorithms
We propose a new framework of explanation-oriented data mining by adding an explanation construction and evaluation phase to the data mining process. While traditional approaches c...
Yiyu Yao, Yan Zhao, R. Brien Maguire
RAS
2010
167views more  RAS 2010»
13 years 6 months ago
Data association and occlusion handling for vision-based people tracking by mobile robots
This paper presents an approach for tracking multiple persons on a mobile robot with a combination of colour and thermal vision sensors, using several new techniques. First, an ad...
Grzegorz Cielniak, Tom Duckett, Achim J. Lilientha...
ICML
2010
IEEE
13 years 8 months ago
Learning Markov Logic Networks Using Structural Motifs
Markov logic networks (MLNs) use firstorder formulas to define features of Markov networks. Current MLN structure learners can only learn short clauses (4-5 literals) due to extre...
Stanley Kok, Pedro Domingos