Abstract. For a book, the title and abstract provide a good first impression of what to expect from it. For a database, getting a first impression is not so straightforward. Whil...
: Dimensionality reduction methods (DRs) have commonly been used as a principled way to understand the high-dimensional data such as face images. In this paper, we propose a new un...
Biometric based personal authentication is an effective method for automatically recognizing, with a high confidence, a person’s identity. By observing that the texture pattern p...
Lin Zhang, Lei Zhang 0006, David Zhang, Hailong Zh...
We develop a supervised dimensionality reduction method, called Lorentzian Discriminant Projection (LDP), for feature extraction and classification. Our method represents the str...
The recent literature has provided a solid theoretical foundation for the use of schema mappings in data-exchange applications. Following this formalization, new algorithms have b...
Bruno Marnette, Giansalvatore Mecca, Paolo Papotti