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SAC
2004
ACM
16 years 7 days ago
An optimized approach for KNN text categorization using P-trees
The importance of text mining stems from the availability of huge volumes of text databases holding a wealth of valuable information that needs to be mined. Text categorization is...
Imad Rahal, William Perrizo
SIGMOD
2002
ACM
219views Database» more  SIGMOD 2002»
16 years 7 months ago
Efficient k-NN search on vertically decomposed data
Applications like multimedia retrieval require efficient support for similarity search on large data collections. Yet, nearest neighbor search is a difficult problem in high dimen...
Arjen P. de Vries, Nikos Mamoulis, Niels Nes, Mart...
MICCAI
2007
Springer
16 years 7 months ago
Active-Contour-Based Image Segmentation Using Machine Learning Techniques
Abstract. We introduce a non-linear shape prior for the deformable model framework that we learn from a set of shape samples using recent manifold learning techniques. We model a c...
Patrick Etyngier, Florent Ségonne, Renaud K...
ICML
2009
IEEE
16 years 7 months ago
Discriminative k-metrics
The k q-flats algorithm is a generalization of the popular k-means algorithm where q dimensional best fit affine sets replace centroids as the cluster prototypes. In this work, a ...
Arthur Szlam, Guillermo Sapiro
SIGSOFT
2007
ACM
16 years 7 months ago
A study of interleaving coverage criteria
Concurrency bugs are becoming increasingly important due to the prevalence of concurrent programs. A fundamental problem of concurrent program bug detection and testing is that th...
Shan Lu, Weihang Jiang, Yuanyuan Zhou