Linear subspace methods that provide sufficient reconstruction of the data, such as PCA, offer an efficient way of dealing with missing pixels, outliers, and occlusions that often ...
In this paper, a wavelet based approach is proposed for the model order reduction of linear circuits in time domain. Compared with Chebyshev reduction method, the wavelet reductio...
Xuan Zeng, Lihong Feng, Yangfeng Su, Wei Cai, Dian...
Clustering algorithms are a useful tool to explore data structures and have been employed in many disciplines. The focus of this paper is the partitioning clustering problem with ...
Maurizio Filippone, Francesco Camastra, Francesco ...
The knowledge-engineering literature contains a number of approaches for constructing or selecting problem solvers. Some of these approaches are based on indexing and selecting a ...
Annette ten Teije, Frank van Harmelen, A. Th. Schr...
Graph-based methods for semi-supervised learning have recently been shown to be promising for combining labeled and unlabeled data in classification problems. However, inference f...