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ADMA
2006
Springer
110views Data Mining» more  ADMA 2006»
13 years 11 months ago
Learning with Local Drift Detection
Abstract. Most of the work in Machine Learning assume that examples are generated at random according to some stationary probability distribution. In this work we study the problem...
João Gama, Gladys Castillo
CEC
2010
IEEE
13 years 9 months ago
Local Optima Networks of the Quadratic Assignment Problem
Using a recently proposed model for combinatorial landscapes, Local Optima Networks (LON), we conduct a thorough analysis of two types of instances of the Quadratic Assignment Prob...
Fabio Daolio, Sébastien Vérel, Gabri...
MMM
2009
Springer
123views Multimedia» more  MMM 2009»
14 years 4 months ago
A Multimodal Constellation Model for Object Category Recognition
Object category recognition in various appearances is one of the most challenging task in the object recognition research fields. The major approach to solve the task is using the...
Yasunori Kamiya, Tomokazu Takahashi, Ichiro Ide, H...
TSE
2011
214views more  TSE 2011»
13 years 2 months ago
A Comparative Study of Software Model Checkers as Unit Testing Tools: An Industrial Case Study
—Conventional testing methods often fail to detect hidden flaws in complex embedded software such as device drivers or file systems. This deficiency incurs significant developmen...
Moonzoo Kim, Yunho Kim, Hotae Kim
ER
2009
Springer
166views Database» more  ER 2009»
14 years 2 months ago
A Modeling Ontology for Integrating Vulnerabilities into Security Requirements Conceptual Foundations
Abstract. Vulnerabilities are weaknesses in the requirements, design, and implementation, which attackers exploit to compromise the system. This paper proposes a vulnerability-cent...
Golnaz Elahi, Eric S. K. Yu, Nicola Zannone