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CORR
2010
Springer
207views Education» more  CORR 2010»
15 years 6 months ago
Collaborative Hierarchical Sparse Modeling
Sparse modeling is a powerful framework for data analysis and processing. Traditionally, encoding in this framework is performed by solving an 1-regularized linear regression prob...
Pablo Sprechmann, Ignacio Ramírez, Guillerm...
ML
2002
ACM
163views Machine Learning» more  ML 2002»
15 years 6 months ago
Structural Modelling with Sparse Kernels
A widely acknowledged drawback of many statistical modelling techniques, commonly used in machine learning, is that the resulting model is extremely difficult to interpret. A numb...
Steve R. Gunn, Jaz S. Kandola
ICSE
2003
IEEE-ACM
15 years 12 months ago
Multi-view Software Component Modeling for Dependability
Modeling software components from multiple perspectives provides complementary views of a software system and enables sophisticated analyses of its functionality. A software compon...
Roshanak Roshandel, Nenad Medvidovic
CCE
2008
15 years 6 months ago
Object-oriented modelling of virtual-labs for education in chemical process control
Easy Java Simulations (Ejs) and Sysquake are two software tools specifically intended for implementation of virtual-labs. They allow easy definition of the virtuallab view (i.e., ...
Carla Martin-Villalba, Alfonso Urquia, Sebasti&aac...
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ICIP
2007
IEEE
16 years 8 months ago
Query-Driven Locally Adaptive Fisher Faces and Expert-Model for Face Recognition
We present a novel expert-model of Query-Driven Locally Adaptive (QDLA) Fisher faces for robust face recognition. For each query face, the proposed method first fits local Fisher ...
Yun Fu, Junsong Yuan, Zhu Li, Thomas S. Huang, Yin...