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IPSN
2004
Springer
15 years 10 months ago
Estimation from lossy sensor data: jump linear modeling and Kalman filtering
Due to constraints in cost, power, and communication, losses often arise in large sensor networks. The sensor can be modeled as an output of a linear stochastic system with random...
Alyson K. Fletcher, Sundeep Rangan, Vivek K. Goyal
KDD
2004
ACM
161views Data Mining» more  KDD 2004»
15 years 10 months ago
ANN quality diagnostic models for packaging manufacturing: an industrial data mining case study
World steel trade becomes more competitive every day and new high international quality standards and productivity levels can only be achieved by applying the latest computational...
Nicolás de Abajo, Alberto B. Diez, Vanesa L...
ECHT
1992
15 years 9 months ago
Gram: A Graph Data Model and Query Language
We present a model for data organized as graphs. Regular expressions over the types of the node and edge labels are used to qualify connected subgraphs. An algebraic language base...
Bernd Amann, Michel Scholl
144
Voted
FGR
2006
IEEE
111views Biometrics» more  FGR 2006»
15 years 11 months ago
Registration of Expressions Data using a 3D Morphable Model
The registration of 3D scans of faces is a key step for many applications, in particular for building 3D Morphable Models. Although a number of algorithms are already available fo...
Curzio Basso, Pascal Paysan, Thomas Vetter
JCP
2006
118views more  JCP 2006»
15 years 5 months ago
Learning a Classification-based Glioma Growth Model Using MRI Data
Gliomas are malignant brain tumors that grow by invading adjacent tissue. We propose and evaluate a 3D classification-based growth model, CDM, that predicts how a glioma will grow ...
Marianne Morris, Russell Greiner, Jörg Sander...