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ICDM
2009
IEEE
156views Data Mining» more  ICDM 2009»
13 years 4 months ago
Scalable Classification in Large Scale Spatiotemporal Domains Applied to Voltage-Sensitive Dye Imaging
We present an approach for learning models that obtain accurate classification of large scale data objects, collected in spatiotemporal domains. The model generation is structured ...
Igor Vainer, Sarit Kraus, Gal A. Kaminka, Hamutal ...
INFORMATICALT
2011
89views more  INFORMATICALT 2011»
13 years 1 months ago
Large-Scale Data Analysis Using Heuristic Methods
Estimation and modelling problems as they arise in many data analysis areas often turn out to be unstable and/or intractable by standard numerical methods. Such problems frequently...
Gintautas Dzemyda, Leonidas Sakalauskas
3DOR
2010
13 years 1 months ago
SHREC'10 Track: Large Scale Retrieval
This paper is a report on the 3D Shape Retrieval Constest 2010 (SHREC'10) track on large scale retrieval. This benchmark allows evaluating how wel retrieval algorithms scale ...
Remco C. Veltkamp, Geert-Jan Giezeman, Hannah Bast...
ICPPW
2009
IEEE
13 years 4 months ago
A Scalable Parallel Approach for Peptide Identification from Large-Scale Mass Spectrometry Data
Identifying peptides, which are short polymeric chains of amino acid residues in a protein sequence, is of fundamental importance in systems biology research. The most popular appr...
Gaurav Ramesh Kulkarni, Ananth Kalyanaraman, Willi...
OTM
2010
Springer
13 years 4 months ago
On the Expressiveness and Trade-Offs of Large Scale Tuple Stores
Massive-scale distributed computing is a challenge at our doorstep. The current exponential growth of data calls for massive-scale capabilities of storage and processing. This is b...
Ricardo Vilaça, Francisco Cruz, Rui Carlos ...