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IBPRIA
2003
Springer
15 years 11 months ago
Supervised Locally Linear Embedding Algorithm for Pattern Recognition
The dimensionality of the input data often far exceeds their intrinsic dimensionality. As a result, it may be difficult to recognize multidimensional data, especially if the number...
Olga Kouropteva, Oleg Okun, Matti Pietikäinen
EMNLP
2007
15 years 8 months ago
Scalable Term Selection for Text Categorization
In text categorization, term selection is an important step for the sake of both categorization accuracy and computational efficiency. Different dimensionalities are expected und...
Jingyang Li, Maosong Sun
NIPS
2004
15 years 7 months ago
Proximity Graphs for Clustering and Manifold Learning
Many machine learning algorithms for clustering or dimensionality reduction take as input a cloud of points in Euclidean space, and construct a graph with the input data points as...
Miguel Á. Carreira-Perpiñán, ...
SAC
2009
ACM
15 years 11 months ago
Incremental board: a grid-based space for visualizing dynamic data sets
In Information Visualization, adding and removing data elements can strongly impact the underlying visual space. We introduce a chess board analogy for displaying (projecting) obj...
Roberto Pinho, Maria Cristina Ferreira de Oliveira...
EDBT
2009
ACM
92views Database» more  EDBT 2009»
15 years 10 months ago
Efficient skyline computation in metric space
Given a set of n query points in a general metric space, a metricspace skyline (MSS) query asks what are the closest points to all these query points in the database. Here, consid...
David Fuhry, Ruoming Jin, Donghui Zhang