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» Application of Level Set Methods in Computer Vision
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MICCAI
2006
Springer
16 years 7 months ago
The Entire Regularization Path for the Support Vector Domain Description
Abstract. The support vector domain description is a one-class classification method that estimates the shape and extent of the distribution of a data set. This separates the data ...
Karl Sjöstrand, Rasmus Larsen
SIGECOM
2009
ACM
114views ECommerce» more  SIGECOM 2009»
16 years 1 months ago
Policy teaching through reward function learning
Policy teaching considers a Markov Decision Process setting in which an interested party aims to influence an agent’s decisions by providing limited incentives. In this paper, ...
Haoqi Zhang, David C. Parkes, Yiling Chen
DAC
2003
ACM
15 years 12 months ago
NORM: compact model order reduction of weakly nonlinear systems
This paper presents a compact Nonlinear model Order Reduction Method (NORM) that is applicable for time-invariant and time-varying weakly nonlinear systems. NORM is suitable for r...
Peng Li, Lawrence T. Pileggi
EUROPAR
2009
Springer
15 years 4 months ago
A Least-Resistance Path in Reasoning about Unstructured Overlay Networks
Unstructured overlay networks for peer-to-peer applications combined with stochastic algorithms for clustering and resource location are attractive due to low-maintenance costs and...
Giorgos Georgiadis, Marina Papatriantafilou
COMSIS
2010
15 years 4 months ago
3D point pattern matching based on spatial geometric flexibility
We propose a new method for matching two 3D point sets of identical cardinality with global similarity but local non-rigid deformations and distribution errors. This problem arises...
Xiaopeng Wei, Xiaoyong Fang, Qiang Zhang, Dongshen...