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» A Pseudo-Metric for Weighted Point Sets
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WAIM
2009
Springer
14 years 1 months ago
Kernel-Based Transductive Learning with Nearest Neighbors
In the k-nearest neighbor (KNN) classifier, nearest neighbors involve only labeled data. That makes it inappropriate for the data set that includes very few labeled data. In this ...
Liangcai Shu, Jinhui Wu, Lei Yu, Weiyi Meng
SODA
2012
ACM
191views Algorithms» more  SODA 2012»
11 years 11 months ago
Submatrix maximum queries in Monge matrices and Monge partial matrices, and their applications
We describe a data structure for submatrix maximum queries in Monge matrices or Monge partial matrices, where a query specifies a contiguous submatrix of the given matrix, and it...
Haim Kaplan, Shay Mozes, Yahav Nussbaum, Micha Sha...
ICPR
2004
IEEE
14 years 9 months ago
Data Dependent Classifier Fusion for Construction of Stable Effective Algorithms
A measure of stability for a wide class of pattern recognition algorithms is introduced to cope with overfitting in classification problems. Based on this concept, constructive me...
Dmitry Kropotov, Dmitry Vetrov
MCS
2000
Springer
14 years 1 days ago
Ensemble Methods in Machine Learning
Ensemble methods are learning algorithms that construct a set of classi ers and then classify new data points by taking a (weighted) vote of their predictions. The original ensembl...
Thomas G. Dietterich
GMP
2006
IEEE
112views Solid Modeling» more  GMP 2006»
14 years 2 months ago
Tuned Ternary Quad Subdivision
A well-documented problem of Catmull and Clark subdivision is that, in the neighborhood of extraordinary point, the curvature is unbounded and fluctuates. In fact, since one of th...
Tianyun Ni, Ahmad H. Nasri