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SDM
2007
SIAM
143views Data Mining» more  SDM 2007»
15 years 5 months ago
Less is More: Compact Matrix Decomposition for Large Sparse Graphs
Given a large sparse graph, how can we find patterns and anomalies? Several important applications can be modeled as large sparse graphs, e.g., network traffic monitoring, resea...
Jimeng Sun, Yinglian Xie, Hui Zhang, Christos Falo...
128
Voted
BMCBI
2010
106views more  BMCBI 2010»
15 years 3 months ago
Predicting MHC class I epitopes in large datasets
Background: Experimental screening of large sets of peptides with respect to their MHC binding capabilities is still very demanding due to the large number of possible peptide seq...
Kirsten Roomp, Iris Antes, Thomas Lengauer
CODES
2005
IEEE
15 years 9 months ago
High-level synthesis for large bit-width multipliers on FPGAs: a case study
In this paper, we present the analysis, design and implementation of an estimator to realize large bit width unsigned integer multiplier units. Larger multiplier units are require...
Gang Quan, James P. Davis, Siddhaveerasharan Devar...
141
Voted
EDBTW
2006
Springer
15 years 5 months ago
Change Management in Large-Scale Enterprise Information Systems
The information infrastructure in today's businesses consists of many interoperating autonomous systems. Changes to a single system can therefore have an unexpected impact on ...
Boris Stumm
JMLR
2007
104views more  JMLR 2007»
15 years 3 months ago
Comments on the "Core Vector Machines: Fast SVM Training on Very Large Data Sets"
In a recently published paper in JMLR, Tsang et al. (2005) present an algorithm for SVM called Core Vector Machines (CVM) and illustrate its performances through comparisons with ...
Gaëlle Loosli, Stéphane Canu