Incremental clustering for dynamic information processing
ACM Transactions on Information Systems (TOIS)
Machine Learning - Special issue on inductive transfer
Ensemble Methods in Machine Learning
MCS '00 Proceedings of the First International Workshop on Multiple Classifier Systems
MavHome: An Agent-Based Smart Home
PERCOM '03 Proceedings of the First IEEE International Conference on Pervasive Computing and Communications
Recognition of Human Activity through Hierarchical Stochastic Learning
PERCOM '03 Proceedings of the First IEEE International Conference on Pervasive Computing and Communications
An introduction to variable and feature selection
The Journal of Machine Learning Research
Improving Home Automation by Discovering Regularly Occurring Device Usage Patterns
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
Inferring Activities from Interactions with Objects
IEEE Pervasive Computing
Introduction to Data Mining, (First Edition)
Introduction to Data Mining, (First Edition)
Activity Recognition and Monitoring Using Multiple Sensors on Different Body Positions
BSN '06 Proceedings of the International Workshop on Wearable and Implantable Body Sensor Networks
Constructing informative priors using transfer learning
ICML '06 Proceedings of the 23rd international conference on Machine learning
Constraint-based sequential pattern mining: the pattern-growth methods
Journal of Intelligent Information Systems
Online Sequential Prediction via Incremental Parsing: The Active LeZi Algorithm
IEEE Intelligent Systems
Transfer Learning via Inter-Task Mappings for Temporal Difference Learning
The Journal of Machine Learning Research
Adaptive mixtures of local experts
Neural Computation
Activity Recognition for the Smart Hospital
IEEE Intelligent Systems
Activity recognition from interactions with objects using dynamic Bayesian network
Proceedings of the 3rd ACM International Workshop on Context-Awareness for Self-Managing Systems
Using a complex multi-modal on-body sensor system for activity spotting
ISWC '08 Proceedings of the 2008 12th IEEE International Symposium on Wearable Computers
PERCOM '09 Proceedings of the 2009 IEEE International Conference on Pervasive Computing and Communications
Cross-domain activity recognition
Proceedings of the 11th international conference on Ubiquitous computing
Effective control knowledge transfer through learning skill and representation hierarchies
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Efficient Bayesian task-level transfer learning
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Location-based activity recognition using relational Markov networks
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Keeping the resident in the loop: adapting the smart home to the user
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Discovering Activities to Recognize and Track in a Smart Environment
IEEE Transactions on Knowledge and Data Engineering
Toward scalable activity recognition for sensor networks
LoCA'06 Proceedings of the Second international conference on Location- and Context-Awareness
An adaptive sensor mining framework for pervasive computing applications
Sensor-KDD'08 Proceedings of the Second international conference on Knowledge Discovery from Sensor Data
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Assisted living technologies for older adults
Proceedings of the 2nd ACM SIGHIT International Health Informatics Symposium
Transfer learning for activity recognition via sensor mapping
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Three
Service Encapsulation-Based Model for Smart Campus
Journal of Electronic Commerce in Organizations
Complex activity recognition using context-driven activity theory and activity signatures
ACM Transactions on Computer-Human Interaction (TOCHI)
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Current activity recognition approaches usually ignore knowledge learned in previous smart environments when training the recognition algorithms for a new smart environment. In this paper, we propose a method of transferring the knowledge of learned activities in multiple physical spaces, e.g. homes A and B, to a new target space, e.g. home C. Transferring the knowledge of learned activities to a target space results in reducing the data collection and annotation period, achieving an accelerated learning pace and exploiting the insights from previous settings. We validate our algorithms using data collected from several smart apartments.