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» Making inferences with small numbers of training sets
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ICIP
2004
IEEE
16 years 1 months ago
Regularization studies on LDA for face recognition
It is well-known that the applicability of Linear Discriminant Analysis (LDA) to high-dimensional pattern classification tasks such as face recognition (FR) often suffers from the...
Juwei Lu, Konstantinos N. Plataniotis, Anastasios ...
AUSAI
2006
Springer
15 years 3 months ago
Voting Massive Collections of Bayesian Network Classifiers for Data Streams
Abstract. We present a new method for voting exponential (in the number of attributes) size sets of Bayesian classifiers in polynomial time with polynomial memory requirements. Tra...
Remco R. Bouckaert
CVPR
2009
IEEE
15 years 6 months ago
Automatic facial landmark labeling with minimal supervision
Landmark labeling of training images is essential for many learning tasks in computer vision, such as object detection, tracking, and alignment. Image labeling is typically conduc...
Yan Tong, Xiaoming Liu 0002, Frederick W. Wheeler,...
MICAI
2004
Springer
15 years 5 months ago
MultiGrid-Based Fuzzy Systems for Function Approximation
In this paper we make use of a modified Grid Based Fuzzy System architecture, which may provide an exponential reduction in the number of rules needed. We also introduce an algori...
Luis Javier Herrera, Héctor Pomares, Ignaci...
NIPS
2003
15 years 1 months ago
Pairwise Clustering and Graphical Models
Significant progress in clustering has been achieved by algorithms that are based on pairwise affinities between the datapoints. In particular, spectral clustering methods have ...
Noam Shental, Assaf Zomet, Tomer Hertz, Yair Weiss