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» SVM Classifier Estimation from Group Probabilities
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AAAI
2000
13 years 9 months ago
Restricted Bayes Optimal Classifiers
We introduce the notion of restricted Bayes optimal classifiers. These classifiers attempt to combine the flexibility of the generative approach to classification with the high ac...
Simon Tong, Daphne Koller
SASN
2005
ACM
14 years 1 months ago
A key pre-distribution scheme for secure sensor networks using probability density function of node deployment
Pairwise key establishment is a fundamental service provided in secure sensor networks. However, due to resource constraints, establishing pairwise keys is not a trivial task. Rec...
Takashi Ito, Hidenori Ohta, Nori Matsuda, Takeshi ...
IPMI
2011
Springer
12 years 11 months ago
Generalized Sparse Regularization with Application to fMRI Brain Decoding
Many current medical image analysis problems involve learning thousands or even millions of model parameters from extremely few samples. Employing sparse models provides an effecti...
Bernard Ng, Rafeef Abugharbieh
AAAI
2006
13 years 9 months ago
Thresholding for Making Classifiers Cost-sensitive
In this paper we propose a very simple, yet general and effective method to make any cost-insensitive classifiers (that can produce probability estimates) cost-sensitive. The meth...
Victor S. Sheng, Charles X. Ling
IROS
2009
IEEE
189views Robotics» more  IROS 2009»
14 years 2 months ago
Moving object detection by multi-view geometric techniques from a single camera mounted robot
— The ability to detect, and track multiple moving objects like person and other robots, is an important prerequisite for mobile robots working in dynamic indoor environments. We...
Abhijit Kundu, Madhava M. Krishna, Jayanthi Sivasw...