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» A Distance-Based Packing Method for High Dimensional Data
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PAA
2002
13 years 7 months ago
Hierarchical Fusion of Multiple Classifiers for Hyperspectral Data Analysis
: Many classification problems involve high dimensional inputs and a large number of classes. Multiclassifier fusion approaches to such difficult problems typically centre around s...
Shailesh Kumar, Joydeep Ghosh, Melba M. Crawford
JMLR
2012
11 years 10 months ago
Krylov Subspace Descent for Deep Learning
In this paper, we propose a second order optimization method to learn models where both the dimensionality of the parameter space and the number of training samples is high. In ou...
Oriol Vinyals, Daniel Povey
PREMI
2005
Springer
14 years 1 months ago
Pattern Recognition in Video
Images constitute data that lives in a very high dimensional space, typically of the order of hundred thousand dimensions. Drawing inferences from data of such high dimensions soon...
Rama Chellappa, Ashok Veeraraghavan, Gaurav Aggarw...
SIBGRAPI
2006
IEEE
14 years 1 months ago
Extracting Discriminative Information from Medical Images: A Multivariate Linear Approach
Statistical discrimination methods are suitable not only for classification but also for characterisation of differences between a reference group of patterns and the population u...
Carlos E. Thomaz, Nelson A. O. Aguiar, Sergio H. A...
KDD
2002
ACM
166views Data Mining» more  KDD 2002»
14 years 8 months ago
Frequent term-based text clustering
Text clustering methods can be used to structure large sets of text or hypertext documents. The well-known methods of text clustering, however, do not really address the special p...
Florian Beil, Martin Ester, Xiaowei Xu