—Beyond conventional linear and kernel-based feature extraction, we present a more generalized formulation for feature extraction in this paper. Two representative algorithms usi...
ing models and HW-SW Interfaces Abstraction for Multi-Processor SoC Ahmed A. Jerraya TIMA Laboratory 46 Ave Felix Viallet 38031 Grenoble CEDEX, France +33476574759 Ahmed.Jerraya@im...
We develop a semi-supervised learning method that constrains the posterior distribution of latent variables under a generative model to satisfy a rich set of feature expectation c...
A recently proposed argument to explain the improved performance of the eight-point algorithm that results from using normalized data [IEEE Trans. Pattern Anal. Mach. Intell., 25(...
In a semantic environment data is described by ontologies and ontology mapping has become a crucial aspect in solving the heterogeneity problems of semantically described data. Th...