Low-Rank Representation (LRR) [16, 17] is an effective method for exploring the multiple subspace structures of data. Usually, the observed data matrix itself is chosen as the dic...
Background: Knowledge of transcription factor-DNA binding patterns is crucial for understanding gene transcription. Numerous DNA-binding proteins are annotated as transcription fa...
Denitsa Alamanova, Philip Stegmaier, Alexander E. ...
In this paper we propose a lightweight algorithm for constructing multi-resolution data representations for sensor networks. We compute, at each sensor node u, O(log n) aggregates...
EXtensible Markup Language (XML) has emerged as the dominant standard in describing and exchanging data among heterogeneous data sources. XML with its self-describing hierarchical ...
Vicky Nassis, Rajagopal Rajugan, Tharam S. Dillon,...
Matrices are essential in many fields of computer science, especially when large amounts of data must be handled efficiently. Despite this demand for matrix software, we were una...