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DELOS
2000
13 years 6 months ago
Analysis of the Effectiveness-Efficiency Dependence for Image Retrieval
Similarity search in image database is commonly implemented as nearest-neighbor search in a feature space of the images. For that purpose, a large number of different features as ...
Martin Heczko, Daniel A. Keim, Roger Weber
SNPD
2003
13 years 6 months ago
Using a Semantic Web for Process Information and Quality Management
This paper describes an approach (and its implementation) on how to handle the large number of data from user centered engineering processes. It uses objectoriented abstraction me...
Ronald Hartwig
ESANN
2001
13 years 6 months ago
Input data reduction for the prediction of financial time series
Prediction of financial time series using artificial neural networks has been the subject of many publications, even if the predictability of financial series remains a subject of ...
Amaury Lendasse, John Aldo Lee, Eric de Bodt, Vinc...
DLOG
2004
13 years 6 months ago
Using Non-Primitive Concept Definitions for Improving DL-based Knowledge Bases
Medical Terminological Knowledge Bases contain a large number of primitive concept definitions. This is due to the large number of natural kinds that are represented, and due to t...
Ronald Cornet, Ameen Abu-Hanna
CSREASAM
2006
13 years 6 months ago
A Visual Environment for Characterization of State Changes in Computer Systems
: Traditional state modeling techniques have several limitations. One of these is the reduced ability to model a large number of variables simultaneously. Another limitation is tha...
Gregory Vert, Sergiu M. Dascalu, Frederick C. Harr...
SDM
2007
SIAM
117views Data Mining» more  SDM 2007»
13 years 6 months ago
Summarizing Review Scores of "Unequal" Reviewers
A frequently encountered problem in decision making is the following review problem: review a large number of objects and select a small number of the best ones. An example is sel...
Hady Wirawan Lauw, Ee-Peng Lim, Ke Wang
NIPS
2008
13 years 6 months ago
Generative versus discriminative training of RBMs for classification of fMRI images
Neuroimaging datasets often have a very large number of voxels and a very small number of training cases, which means that overfitting of models for this data can become a very se...
Tanya Schmah, Geoffrey E. Hinton, Richard S. Zemel...
FAST
2007
13 years 6 months ago
Data ONTAP GX: A Scalable Storage Cluster
Data ONTAP GX is a clustered Network Attached File server composed of a number of cooperating filers. Each filer manages its own local file system, which consists of a number of d...
Michael Eisler, Peter Corbett, Michael Kazar, Dani...
BDA
2007
13 years 6 months ago
BMatch: a Semantically Context-based Tool Enhanced by an Indexing Structure to Accelerate Schema Matching
Schema matching is a crucial task to gather information of the same domain. This is more true on the web, where a large number of data sources are available and require to be matc...
Fabien Duchateau, Zohra Bellahsene, Mathieu Roche
EPEW
2008
Springer
13 years 6 months ago
Assembly Code Analysis Using Stochastic Process Algebra
Currently compilers contain a large number of optimisations which are based on a set of heuristics that are not guaranteed to be effective to improve the performance metrics. In th...
Lamia Djoudi, Leïla Kloul