Dimensionality reduction is an important issue when facing high-dimensional data. For supervised dimensionality reduction, Linear Discriminant Analysis (LDA) is one of the most po...
Feiping Nie, Shiming Xiang, Yangqiu Song, Changshu...
Matching elements of two data schemas or two data instances plays a key role in data warehousing, e-business, or even biochemical applications. In this paper we present a matching...
Work in progress towards modeling shape statistics of multiobject complexes is presented. Constraints defined by the set of objects such as a compact representation of object shap...
Guido Gerig, Sarang C. Joshi, P. Thomas Fletcher, ...
Abstract. Recently, some non-regular subclasses of context-free grammars have been found to be efficiently learnable from positive data. In order to use these efficient algorithms ...
— This paper presents two contributions. The first is an incremental placement algorithm for placement-aware logic synthesis along with a proof of optimality. The algorithm can ...