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IJCNN
2007
IEEE
16 years 23 days ago
Using Artificial Neural Networks and Feature Saliency Techniques for Improved Iris Segmentation
—One of the basic challenges to robust iris recognition is iris segmentation. This paper proposes the use of a feature saliency algorithm and an artificial neural network to perf...
Randy P. Broussard, Lauren R. Kennell, David L. So...
MMDB
2003
ACM
94views Multimedia» more  MMDB 2003»
15 years 11 months ago
Improving image retrieval effectiveness via multiple queries
Conventional approaches to image retrieval are based on the assumption that relevant images are physically near the query image in some feature space. This is the basis of the clu...
Xiangyu Jin, James C. French
KDD
2009
ACM
191views Data Mining» more  KDD 2009»
15 years 11 months ago
Improving data mining utility with projective sampling
Overall performance of the data mining process depends not just on the value of the induced knowledge but also on various costs of the process itself such as the cost of acquiring...
Mark Last
GECCO
2006
Springer
210views Optimization» more  GECCO 2006»
15 years 10 months ago
Clustering the heap in multi-threaded applications for improved garbage collection
Garbage collection can be a performance bottleneck in large distributed, multi-threaded applications. Applications may produce millions of objects during their lifetimes and may i...
Myra B. Cohen, Shiu Beng Kooi, Witawas Srisa-an
FLAIRS
2004
15 years 7 months ago
A Method Based on RBF-DDA Neural Networks for Improving Novelty Detection in Time Series
Novelty detection in time series is an important problem with application in different domains such as machine failure detection, fraud detection and auditing. An approach to this...
Adriano L. I. Oliveira, Fernando Buarque de Lima N...