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JMLR
2010
133views more  JMLR 2010»
13 years 1 months ago
Hierarchical Cost-Sensitive Algorithms for Genome-Wide Gene Function Prediction
In this work we propose new ensemble methods for the hierarchical classification of gene functions. Our methods exploit the hierarchical relationships between the classes in diffe...
Nicolò Cesa-Bianchi, Giorgio Valentini
TIP
2008
95views more  TIP 2008»
13 years 6 months ago
Optimization of Packetization Masks for Image Coding Based on an Objective Cost Function for Desired Packet Spreading
In image communication over lossy packet networks (e.g., cell phone communication) packet loss errors lead to damaged images. Damaged images can be repaired with passive error conc...
Joost Rombaut, Aleksandra Pizurica, Wilfried Phili...
DMIN
2007
203views Data Mining» more  DMIN 2007»
13 years 7 months ago
Evaluation of Feature Selection Techniques for Analysis of Functional MRI and EEG
— The application of feature selection techniques greatly reduces the computational cost of classifying highdimensional data. Feature selection algorithms of varying performance ...
Lauren Burrell, Otis Smart, George J. Georgoulas, ...
ICASSP
2007
IEEE
14 years 18 days ago
Statistical Analysis of the Global Geodesic Function for 3D Object Classification
This paper presents a novel classification strategy for 3D objects. Our technique is based on using a Global Geodesic Function to intrinsically describe the surface ofan object. T...
Djamila Aouada, Shuo Feng, Hamid Krim
GECCO
2004
Springer
105views Optimization» more  GECCO 2004»
13 years 11 months ago
Reducing the Cost of the Hybrid Evolutionary Algorithm with Image Local Response in Electronic Imaging
Abstract. The paper focuses on the efficiency of the hybrid evolutionary algorithm (HEA) for solving the global optimization problem arising in electronic imaging. The particular v...
Igor V. Maslov