Sciweavers

CBMS
2007
IEEE
13 years 11 months ago
An Unsupervised and Fully-Automated Image Analysis Method for cDNA Microarrays
Microarray gene expression image analysis is a labor-intensive task and requires human intervention since microarray images are contaminated with noise and artifacts while spots a...
Eleni Zacharia, Dimitrios E. Maroulis
AHS
2007
IEEE
252views Hardware» more  AHS 2007»
13 years 11 months ago
A Hybrid Engine for the Placement of Domain-Specific Reconfigurable Arrays
Rapid-prototyping of commercial devices and the demanding requirements for flexible hardware in mobile applications have driven the raise of reconfigurable hardware. The adaptatio...
Wing On Fung, Tughrul Arslan, Sami Khawam
MUE
2008
IEEE
137views Multimedia» more  MUE 2008»
13 years 11 months ago
Genetic Algorithm for Shortest Driving Time in Intelligent Transportation Systems
The route guidance system, which provides driving advice based on traffic information about an origin and a destination, has become very popular along with the advancement of hand...
Chu-Hsing Lin, Jui-Ling Yu, Jung-Chun Liu, Chia-Je...
ISDA
2008
IEEE
13 years 11 months ago
Genetic Annealing Optimization: Design and Real World Applications
Both simulated annealing (SA) and the genetic algorithms (GA) are stochastic and derivative-free optimization technique. SA operates on one solution at a time, while the GA mainta...
Mostafa A. El-Hosseini, Aboul Ella Hassanien, Ajit...
ICPR
2008
IEEE
13 years 11 months ago
Computer graphics identification using genetic algorithm
This paper proposes the use of genetic algorithm to select an optimal feature set for distinguishing computer graphics from digital photographic images. Our previously developed a...
Wen Chen, Yun Q. Shi, Guorong Xuan, Wei Su
CISIM
2008
IEEE
13 years 11 months ago
Scheduling in Multiprocessor System Using Genetic Algorithms
Multiprocessors have emerged as a powerful computing means for running real-time applications, especially where a uniprocessor system would not be sufficient enough to execute all...
Keshav P. Dahal, M. Alamgir Hossain, Benny Varghes...
CEC
2008
IEEE
13 years 11 months ago
A Quantum-inspired Genetic Algorithm for data clustering
—The conventional K-Means clustering algorithm must know the number of clusters in advance and the clustering result is sensitive to the selection of the initial cluster centroid...
Jing Xiao, YuPing Yan, Ying Lin, Ling Yuan, Jun Zh...
CEC
2008
IEEE
13 years 11 months ago
A contour method in population-based stochastic algorithms
—Inspired by the contours in topography, this paper proposes a contour method for the population-based stochastic algorithms to solve the problems with continuous variables. Rely...
Ying Lin, Jun Zhang, Lu-kai Lan
CEC
2008
IEEE
13 years 11 months ago
Solving deceptive problems using a genetic algorithm with reserve selection
— Deceptive problems are a class of challenging problems for conventional genetic algorithms (GAs), which usually mislead the search to some local optima rather than the global o...
Yang Chen, Jinglu Hu, Kotaro Hirasawa, Songnian Yu
ICVS
2009
Springer
13 years 12 months ago
Increasing the Robustness of 2D Active Appearance Models for Real-World Applications
Abstract. This paper presents an approach to increase the robustness of Active Appearance Models (AAMs) within the scope of humanrobotinteraction. Due to unknown environments with ...
Ronny Stricker, Christian Martin, Horst-Michael Gr...