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...
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...
Modeling software components from multiple perspectives provides complementary views of a software system and enables sophisticated analyses of its functionality. A software compon...
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...
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...