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PERCOM
2007
ACM
16 years 6 months ago
Structural Learning of Activities from Sparse Datasets
Abstract. A major challenge in pervasive computing is to learn activity patterns, such as bathing and cleaning from sensor data. Typical sensor deployments generate sparse datasets...
Fahd Albinali, Nigel Davies, Adrian Friday
EWSN
2004
Springer
16 years 6 months ago
Lessons from a Sensor Network Expedition
Habitat monitoring is an important driving application for wireless sensor networks (WSNs). Although researchers anticipate some challenges arising in the real-world deployments of...
Robert Szewczyk, Joseph Polastre, Alan M. Mainwari...
MICCAI
2009
Springer
16 years 3 months ago
Mesh Generation from 3D Multi-material Images
Generating realistic geometric models from 3D segmented images is an important task in many biomedical applications. Segmented 3D images impose particular challenges for meshing a...
Dobrina Boltcheva, Mariette Yvinec, Jean-Daniel Bo...
SDM
2009
SIAM
205views Data Mining» more  SDM 2009»
16 years 3 months ago
Identifying Information-Rich Subspace Trends in High-Dimensional Data.
Identifying information-rich subsets in high-dimensional spaces and representing them as order revealing patterns (or trends) is an important and challenging research problem in m...
Chandan K. Reddy, Snehal Pokharkar
ICWS
2009
IEEE
16 years 3 months ago
Towards Probabilistic Estimation of Quality of Online Services
Accurate estimation of quality of online services is both an important and difficult problem, since a service has many interdependent quality attributes influenced by several co...
Le-Hung Vu, Karl Aberer