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» Learning Behavior Models for Hybrid Timed Systems
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JMLR
2012
13 years 6 months ago
Maximum Margin Temporal Clustering
Temporal Clustering (TC) refers to the factorization of multiple time series into a set of non-overlapping segments that belong to k temporal clusters. Existing methods based on e...
Minh Hoai Nguyen, Fernando De la Torre
154
Voted
TMC
2010
150views more  TMC 2010»
15 years 2 months ago
Handling Mobility in Wireless Sensor and Actor Networks
— In Wireless Sensor and Actor Networks (WSANs), the collaborative operation of sensors enables the distributed sensing of a physical phenomenon, while actors collect and process...
Tommaso Melodia, Dario Pompili, Ian F. Akyildiz
132
Voted
CVPR
2007
IEEE
16 years 5 months ago
Closed-Loop Tracking and Change Detection in Multi-Activity Sequences
We present a novel framework for tracking of a long sequence of human activities, including the time instances of change from one activity to the next, using a closed-loop, non-li...
Bi Song, Namrata Vaswani, Amit K. Roy Chowdhury
CIKM
2007
Springer
15 years 10 months ago
Utilizing a geometry of context for enhanced implicit feedback
Implicit feedback algorithms utilize interaction between searchers and search systems to learn more about users’ needs and interests than expressed in query statements alone. Th...
Massimo Melucci, Ryen W. White
137
Voted
ATAL
2004
Springer
15 years 9 months ago
Adaptive Information Infrastructures for the e-Society
Abstract. Positioned at the confluence between human/machine and hardware/software integration and backed by a solid proof of concept realized through several scenarios encompassin...
Mihaela Ulieru