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BMCBI
2008
142views more  BMCBI 2008»
13 years 6 months ago
Identification of biomarkers for genotyping Aspergilli using non-linear methods for clustering and classification
Background: In the present investigation, we have used an exhaustive metabolite profiling approach to search for biomarkers in recombinant Aspergillus nidulans (mutants that produ...
Irene Kouskoumvekaki, Zhiyong Yang, Svava Ó...
WCE
2007
13 years 7 months ago
Novel Auxiliary Techniques in Clustering
— Clustering is grouping of patterns according to similarity or distance in different perspectives. Various data representations, similarity measurements and organization manners...
Mohammad Taheri, Reza Boostani
KDD
2002
ACM
147views Data Mining» more  KDD 2002»
14 years 7 months ago
Visualized Classification of Multiple Sample Types
The goal of the knowledge discovery and data mining is to extract the useful knowledge from the given data. Visualization enables us to find structures, features, patterns, and re...
Li Zhang, Aidong Zhang, Murali Ramanathan
ISVC
2009
Springer
14 years 1 months ago
Multi-target and Multi-camera Object Detection with Monte-Carlo Sampling
In this paper, we propose a general-purpose methodology for detecting multiple objects with known visual models from multiple views. The proposed method is based Monte-Carlo sampli...
Giorgio Panin, Sebastian Klose, Alois Knoll
ISPASS
2007
IEEE
14 years 29 days ago
Reverse State Reconstruction for Sampled Microarchitectural Simulation
For simulation, a tradeoff exists between speed and accuracy. The more instructions simulated from the workload, the more accurate the results — but at a higher cost. To reduce ...
Paul D. Bryan, Michel C. Rosier, Thomas M. Conte