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154
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ICCV
2011
IEEE
14 years 2 months ago
Latent Low-Rank Representation for Subspace Segmentation and Feature Extraction
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...
Guangcan Liu, Shuicheng Yan
BMCBI
2010
167views more  BMCBI 2010»
15 years 2 months ago
Creating PWMs of transcription factors using 3D structure-based computation of protein-DNA free binding energies
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. ...
156
Voted
IPSN
2007
Springer
15 years 8 months ago
Hierarchical spatial gossip for multi-resolution representations in sensor networks
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...
Rik Sarkar, Xianjin Zhu, Jie Gao
DAWAK
2004
Springer
15 years 7 months ago
Conceptual Design of XML Document Warehouses
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,...
136
Voted
COMPSAC
2009
IEEE
15 years 7 months ago
Towards a Next-Generation Matrix Library for Java
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...
Holger Arndt, Markus Bundschus, Andreas Naegele