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ACSC
2005
IEEE
14 years 2 months ago
The Electronic Primaries: Predicting the U.S. Presidency Using Feature Selection with Safe Data Reduction
The data mining inspired problem of finding the critical, and most useful features to be used to classify a data set, and construct rules to predict the class of future examples ...
Pablo Moscato, Luke Mathieson, Alexandre Mendes, R...
IEEEMSP
2002
IEEE
14 years 1 months ago
Factorization with missing data for 3D structure recovery
—Matrix factorization methods are now widely used to recover 3D structure from 2D projections [1]. In practice, the observation matrix to be factored out has missing data, due to...
Rui F. C. Guerreiro, Pedro M. Q. Aguiar
VLDB
2001
ACM
109views Database» more  VLDB 2001»
14 years 1 months ago
Mining Multi-Dimensional Constrained Gradients in Data Cubes
Constrained gradient analysis (similar to the “cubegrade” problem posed by Imielinski, et al. [9]) is to extract pairs of similar cell characteristics associated with big chan...
Guozhu Dong, Jiawei Han, Joyce M. W. Lam, Jian Pei...
NIPS
1997
13 years 10 months ago
EM Algorithms for PCA and SPCA
I present an expectation-maximization (EM) algorithm for principal component analysis (PCA). The algorithm allows a few eigenvectors and eigenvalues to be extracted from large col...
Sam T. Roweis
ICDE
2007
IEEE
139views Database» more  ICDE 2007»
14 years 10 months ago
Updating Recursive XML Views of Relations
This paper investigates the view update problem for XML views published from relational data. We consider (possibly) recursively defined XML views, compressed into DAGs and stored...
Byron Choi, Gao Cong, Wenfei Fan, Stratis Viglas