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CVPR
2007
IEEE
14 years 10 months ago
Unsupervised Activity Perception by Hierarchical Bayesian Models
We propose a novel unsupervised learning framework for activity perception. To understand activities in complicated scenes from visual data, we propose a hierarchical Bayesian mod...
Xiaogang Wang, Xiaoxu Ma, Eric Grimson
ISCC
2006
IEEE
188views Communications» more  ISCC 2006»
14 years 1 months ago
Active Learning Driven Data Acquisition for Sensor Networks
Online monitoring of a physical phenomenon over a geographical area is a popular application of sensor networks. Networks representative of this class of applications are typicall...
Anish Muttreja, Anand Raghunathan, Srivaths Ravi, ...
ICML
2006
IEEE
14 years 8 months ago
Active learning via transductive experimental design
This paper considers the problem of selecting the most informative experiments x to get measurements y for learning a regression model y = f(x). We propose a novel and simple conc...
Kai Yu, Jinbo Bi, Volker Tresp
CONTEXT
2007
Springer
14 years 2 months ago
Activity Systems and Context Working as Core Concepts in Modeling Socio-Technical Systems
Current modeling approaches in the field of learning and work resemble the notion of workflows and hence fall short in describing the situated and socially mediated nature of pract...
Heidrun Allert, Christoph Richter
TSMC
2010
13 years 2 months ago
Active Learning of Plans for Safety and Reachability Goals With Partial Observability
Traditional planning assumes reachability goals and/or full observability. In this paper, we propose a novel solution for safety and reachability planning with partial observabilit...
Wonhong Nam, Rajeev Alur