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ICCV
2003
IEEE
16 years 5 months ago
Landmark-based Shape Deformation with Topology-Preserving Constraints
This paper presents a novel approach for landmarkbased shape deformation, in which fitting error and shape difference are formulated into a support vector machine (SVM) regression...
Song Wang, Jim Xiuquan Ji, Zhi-Pei Liang
CSDA
2007
134views more  CSDA 2007»
15 years 3 months ago
Variational approximations in Bayesian model selection for finite mixture distributions
Variational methods for model comparison have become popular in the neural computing/machine learning literature. In this paper we explore their application to the Bayesian analys...
Clare A. McGrory, D. M. Titterington
CIKM
2009
Springer
15 years 7 months ago
Classification-based resource selection
In some retrieval situations, a system must search across multiple collections. This task, referred to as federated search, occurs for example when searching a distributed index o...
Jaime Arguello, Jamie Callan, Fernando Diaz
ML
2008
ACM
248views Machine Learning» more  ML 2008»
15 years 3 months ago
Feature selection via sensitivity analysis of SVM probabilistic outputs
Feature selection is an important aspect of solving data-mining and machine-learning problems. This paper proposes a feature-selection method for the Support Vector Machine (SVM) l...
Kai Quan Shen, Chong Jin Ong, Xiao Ping Li, Einar ...
PAKDD
2005
ACM
117views Data Mining» more  PAKDD 2005»
15 years 8 months ago
Automatic View Selection: An Application to Image Mining
Abstract. In this paper we discuss an image mining application of Egeria detection. Egeria is a type of weed found in various lands and water regions over San Joaquin and Sacrament...
Manoranjan Dash, Deepak Kolippakkam