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» Lossy Reduction for Very High Dimensional Data
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CIARP
2009
Springer
15 years 4 months ago
Analysis of the GRNs Inference by Using Tsallis Entropy and a Feature Selection Approach
Abstract. An important problem in the bioinformatics field is to understand how genes are regulated and interact through gene networks. This knowledge can be helpful for many appl...
Fabrício Martins Lopes, Evaldo A. de Olivei...
CIKM
2010
Springer
14 years 8 months ago
Decomposing background topics from keywords by principal component pursuit
Low-dimensional topic models have been proven very useful for modeling a large corpus of documents that share a relatively small number of topics. Dimensionality reduction tools s...
Kerui Min, Zhengdong Zhang, John Wright, Yi Ma
CODES
2007
IEEE
15 years 3 months ago
Compile-time decided instruction cache locking using worst-case execution paths
Caches are notorious for their unpredictability. It is difficult or even impossible to predict if a memory access results in a definite cache hit or miss. This unpredictability i...
Heiko Falk, Sascha Plazar, Henrik Theiling
ICDCS
2000
IEEE
15 years 1 months ago
Scalable QoS Guaranteed Communication Services for Real-Time Applications
In this paper, we propose an approach to flow-unaware admission control, which is combination with an aggregate packet forwarding scheme, improves scalability of networks while g...
Byung-Kyu Choi, Dong Xuan, Chengzhi Li, Riccardo B...
OTM
2009
Springer
15 years 4 months ago
CLON: Overlay Networks and Gossip Protocols for Cloud Environments
Although epidemic or gossip-based multicast is a robust and scalable approach to reliable data dissemination, its inherent redundancy results in high resource consumption on both ...
Miguel Matos, António Sousa, José Pe...