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CVPR
2010
IEEE
15 years 7 months ago
Cascaded L1-norm Minimization Learning (CLML) Classifier for Human Detection
This paper proposes a new learning method, which integrates feature selection with classifier construction for human detection via solving three optimization models. Firstly, the ...
Ran Xu, Baochang Zhang, Qixiang Ye, jian bin Jiao
JMLR
2010
129views more  JMLR 2010»
14 years 8 months ago
Learning Polyhedral Classifiers Using Logistic Function
In this paper we propose a new algorithm for learning polyhedral classifiers. In contrast to existing methods for learning polyhedral classifier which solve a constrained optimiza...
Naresh Manwani, P. S. Sastry
NIPS
2007
15 years 3 months ago
Learning to classify complex patterns using a VLSI network of spiking neurons
We propose a compact, low power VLSI network of spiking neurons which can learn to classify complex patterns of mean firing rates on–line and in real–time. The network of int...
Srinjoy Mitra, Giacomo Indiveri, Stefano Fusi
JMLR
2006
134views more  JMLR 2006»
15 years 1 months ago
Considering Cost Asymmetry in Learning Classifiers
Receiver Operating Characteristic (ROC) curves are a standard way to display the performance of a set of binary classifiers for all feasible ratios of the costs associated with fa...
Francis R. Bach, David Heckerman, Eric Horvitz
105
Voted
TNN
2008
76views more  TNN 2008»
15 years 1 months ago
Maxi-Min Margin Machine: Learning Large Margin Classifiers Locally and Globally
Abstract--In this paper, we propose a novel large margin classifier, called the maxi
Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. ...