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ICCS
2001
Springer
15 years 2 months ago
Performance Tradeoffs in Multi-tier Formulation of a Finite Difference Method
Scott B. Baden, Daniel Shalit
CVPR
2012
IEEE
13 years 11 days ago
RALF: A reinforced active learning formulation for object class recognition
Active learning aims to reduce the amount of labels required for classification. The main difficulty is to find a good trade-off between exploration and exploitation of the lab...
Sandra Ebert, Mario Fritz, Bernt Schiele
ICASSP
2010
IEEE
14 years 10 months ago
Consensus in correlated random topologies: Weights for finite time horizon
We consider the weight design problem for the consensus algorithm under a finite time horizon. We assume that the underlying network is random where the links fail at each iterat...
Dusan Jakovetic, João Xavier, José M...
VLSISP
1998
111views more  VLSISP 1998»
14 years 9 months ago
Quantitative Analysis of MR Brain Image Sequences by Adaptive Self-Organizing Finite Mixtures
This paper presents an adaptive structure self-organizing finite mixture network for quantification of magnetic resonance (MR) brain image sequences. We present justification fo...
Yue Wang, Tülay Adali, Chi-Ming Lau, Sun-Yuan...
ICPR
2008
IEEE
15 years 11 months ago
Variance estimation for two-class and multi-class ROC analysis using operating point averaging
Receiver Operating Characteristic (ROC) analysis enables fine-tuning of a trained classifier to a desired performance trade-off situation. ROC estimated from a finite test set is,...
Pavel Paclík, Carmen Lai, Jana Novovicov&aa...