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» High Performance Clustering Based on the Similarity Join
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BMCBI
2006
216views more  BMCBI 2006»
15 years 6 months ago
Machine learning approaches to supporting the identification of photoreceptor-enriched genes based on expression data
Background: Retinal photoreceptors are highly specialised cells, which detect light and are central to mammalian vision. Many retinal diseases occur as a result of inherited dysfu...
Haiying Wang, Huiru Zheng, David Simpson, Francisc...
PR
2006
141views more  PR 2006»
15 years 6 months ago
Relaxational metric adaptation and its application to semi-supervised clustering and content-based image retrieval
The performance of many supervised and unsupervised learning algorithms is very sensitive to the choice of an appropriate distance metric. Previous work in metric learning and ada...
Hong Chang, Dit-Yan Yeung, William K. Cheung
KDD
2008
ACM
161views Data Mining» more  KDD 2008»
16 years 6 months ago
Locality sensitive hash functions based on concomitant rank order statistics
: Locality Sensitive Hash functions are invaluable tools for approximate near neighbor problems in high dimensional spaces. In this work, we are focused on LSH schemes where the si...
Kave Eshghi, Shyamsundar Rajaram
PDCN
2004
15 years 7 months ago
Caching large files by using P2P based client-cluster for web proxy cache
Many web cache systems and policies have been proposed. These studies, however, consider large sized objects less useful than small sized objects for the performance and evict the...
Kyungbaek Kim, Daeyeon Park
BMCBI
2010
112views more  BMCBI 2010»
15 years 6 months ago
In silico fragmentation for computer assisted identification of metabolite mass spectra
Background: Mass spectrometry has become the analytical method of choice in metabolomics research. The identification of unknown compounds is the main bottleneck. In addition to t...
Sebastian Wolf, Stephan Schmidt, Matthias Mül...