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» Improved analysis methods for crossover-based algorithms
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WWW
2005
ACM
16 years 2 months ago
Improving recommendation lists through topic diversification
In this work we present topic diversification, a novel method designed to balance and diversify personalized recommendation lists in order to reflect the user's complete spec...
Cai-Nicolas Ziegler, Sean M. McNee, Joseph A. Kons...
ICASSP
2008
IEEE
15 years 8 months ago
A constrained coefficient ica algorithm for group difference enhancement
Independent component analysis (ICA) is a statistical and computational technique for revealing hidden factors that underlie sets of signals. We propose an improved ICA framework ...
Jing Sui, Jingyu Liu, Lei Wu, Andrew Michael, Lai ...
IVC
2006
163views more  IVC 2006»
15 years 1 months ago
Adaptive fingerprint image enhancement with fingerprint image quality analysis
Accurate minutiae extraction from fingerprint images is heavily dependent on the quality of the fingerprint images. In order to improve the performance of the system, much effort ...
Eun-Kyung Yun, Sung-Bae Cho
GECCO
2007
Springer
190views Optimization» more  GECCO 2007»
15 years 8 months ago
Interactive evolutionary multi-objective optimization and decision-making using reference direction method
In this paper, we borrow the concept of reference direction approach from the multi-criterion decision-making literature and combine it with an EMO procedure to develop an algorit...
Kalyanmoy Deb, Abhishek Kumar
ICCV
2009
IEEE
1556views Computer Vision» more  ICCV 2009»
16 years 7 months ago
Kernel Methods for Weakly Supervised Mean Shift Clustering
Mean shift clustering is a powerful unsupervised data analysis technique which does not require prior knowledge of the number of clusters, and does not constrain the shape of th...
Oncel Tuzel, Fatih Porikli, Peter Meer