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ICMLA
2009
13 years 6 months ago
Regularizing the Local Similarity Discriminant Analysis Classifier
Abstract--We investigate parameter-based and distributionbased approaches to regularizing the generative, similarity-based classifier called local similarity discriminant analysis ...
Luca Cazzanti, Maya R. Gupta
ECCV
2008
Springer
14 years 10 months ago
Weakly Supervised Object Localization with Stable Segmentations
Multiple Instance Learning (MIL) provides a framework for training a discriminative classifier from data with ambiguous labels. This framework is well suited for the task of learni...
Carolina Galleguillos, Boris Babenko, Andrew Rabin...
ALT
2004
Springer
14 years 14 days ago
Applications of Regularized Least Squares to Classification Problems
Abstract. We present a survey of recent results concerning the theoretical and empirical performance of algorithms for learning regularized least-squares classifiers. The behavior ...
Nicolò Cesa-Bianchi
ICML
2004
IEEE
14 years 9 months ago
A fast iterative algorithm for fisher discriminant using heterogeneous kernels
We propose a fast iterative classification algorithm for Kernel Fisher Discriminant (KFD) using heterogeneous kernel models. In contrast with the standard KFD that requires the us...
Glenn Fung, Murat Dundar, Jinbo Bi, R. Bharat Rao
ICIP
2006
IEEE
14 years 10 months ago
Texture Classification with Ants
In this paper, we present a novel texture classification algorithm inspired by the self-assembling behavior of real ants when building live structures with their bodies. The propo...
Arshad Hussain, Nasir Rajpoot, Kashif Rajpoot