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JEC
2006
90views more  JEC 2006»
13 years 10 months ago
The impact of traffic aggregation on the memory performance of networking applications
The trend of the networking processing is to increase the intelligence of the routers (i.e. security capacities). This means that there is an increment in the workload generated p...
Javier Verdú, Jorge García-Vidal, Ma...
CORR
2008
Springer
109views Education» more  CORR 2008»
13 years 11 months ago
Wavelet and Curvelet Moments for Image Classification: Application to Aggregate Mixture Grading
We show the potential for classifying images of mixtures of aggregate, based themselves on varying, albeit well-defined, sizes and shapes, in order to provide a far more effective...
Fionn Murtagh, Jean-Luc Starck
CVPR
2008
IEEE
15 years 23 days ago
Discriminative modeling by Boosting on Multilevel Aggregates
This paper presents a new approach to discriminative modeling for classi cation and labeling. Our method, called Boosting on Multilevel Aggregates (BMA), adds a new class of hiera...
Jason J. Corso
ENGL
2007
160views more  ENGL 2007»
13 years 10 months ago
Diagnosis and Classification of Epilepsy Risk Levels from EEG Signals Using Fuzzy Aggregation Techniques
— This paper is intended to compare the performance of four different types of fuzzy aggregation methods in classification of epilepsy risk levels from EEG Signal parameters. The...
R. Sukanesh, R. Harikumar
SIGMOD
2005
ACM
106views Database» more  SIGMOD 2005»
14 years 11 months ago
Tributaries and Deltas: Efficient and Robust Aggregation in Sensor Network Streams
Existing energy-efficient approaches to in-network aggregation in sensor networks can be classified into two categories, tree-based and multi-path-based, with each having unique s...
Amit Manjhi, Suman Nath, Phillip B. Gibbons