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ICPR
2008
IEEE
14 years 3 months ago
Linear discriminant analysis for data with subcluster structure
Linear discriminant analysis (LDA) is a widely-used feature extraction method in classification. However, the original LDA has limitations due to the assumption of a unimodal str...
Haesun Park, Jaegul Choo, Barry L. Drake, Jinwoo K...
IJCNN
2006
IEEE
14 years 2 months ago
Learning to Rank by Maximizing AUC with Linear Programming
— Area Under the ROC Curve (AUC) is often used to evaluate ranking performance in binary classification problems. Several researchers have approached AUC optimization by approxi...
Kaan Ataman, W. Nick Street, Yi Zhang
ISCAS
2002
IEEE
121views Hardware» more  ISCAS 2002»
14 years 1 months ago
Analog filter adaptation using a dithered linear search algorithm
A variation of the differential steepest descent algorithm, here called the dithered linear search (DLS), is examined and applied to analog filter adaptation. The DLS algorithm is...
Anthony Chan Carusone, David A. Johns
STACS
1999
Springer
14 years 1 months ago
A Logical Characterisation of Linear Time on Nondeterministic Turing Machines
The paper gives a logical characterisation of the class NTIME(n) of problems that can be solved on a nondeterministic Turing machine in linear time. It is shown that a set L of str...
Clemens Lautemann, Nicole Schweikardt, Thomas Schw...
ICMLA
2008
13 years 10 months ago
A Bayesian Approach to Switching Linear Gaussian State-Space Models for Unsupervised Time-Series Segmentation
Time-series segmentation in the fully unsupervised scenario in which the number of segment-types is a priori unknown is a fundamental problem in many applications. We propose a Ba...
Silvia Chiappa