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KDD
2005
ACM
109views Data Mining» more  KDD 2005»
16 years 7 months ago
Formulating distance functions via the kernel trick
Tasks of data mining and information retrieval depend on a good distance function for measuring similarity between data instances. The most effective distance function must be for...
Gang Wu, Edward Y. Chang, Navneet Panda
IJCNN
2007
IEEE
16 years 1 months ago
TRUST-TECH Based Neural Network Training
— Efficient Training in a neural network plays a vital role in deciding the network architecture and the accuracy of these classifiers. Most popular local training algorithms t...
Hsiao-Dong Chiang, Chandan K. Reddy
AVSS
2006
IEEE
16 years 24 days ago
Activity Topology Estimation for Large Networks of Cameras
Estimating the paths that moving objects can take through the fields of view of possibly non-overlapping cameras, also known as their activity topology, is an important step in t...
Anton van den Hengel, Anthony R. Dick, Rhys Hill
SC
2005
ACM
16 years 9 days ago
The MHETA Execution Model for Heterogeneous Clusters
The availability of inexpensive “off the shelf” machines increases the likelihood that parallel programs run on heterogeneous clusters of machines. These programs are increasi...
Mario Nakazawa, David K. Lowenthal, Wenduo Zhou
ICPP
2003
IEEE
16 years 1 days ago
FastLSA: A Fast, Linear-Space, Parallel and Sequential Algorithm for Sequence Alignment
Pairwise sequence alignment is a fundamental operation for homology search in bioinformatics. For two DNA or protein sequences of length ¢ and £ , full-matrix (FM), dynamic prog...
Adrian Driga, Paul Lu, Jonathan Schaeffer, Duane S...