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» Hierarchical Unsupervised Learning
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151
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CVIU
2008
188views more  CVIU 2008»
15 years 4 months ago
Learning function-based object classification from 3D imagery
We propose a novel scheme for using supervised learning for function-based classification of objects in 3D images. During the learning process, a generic multi-level hierarchical ...
Michael Pechuk, Octavian Soldea, Ehud Rivlin
IDA
2009
Springer
15 years 2 months ago
Context-Based Distance Learning for Categorical Data Clustering
Abstract. Clustering data described by categorical attributes is a challenging task in data mining applications. Unlike numerical attributes, it is difficult to define a distance b...
Dino Ienco, Ruggero G. Pensa, Rosa Meo
CVPR
2008
IEEE
16 years 6 months ago
Kernel-based learning of cast shadows from a physical model of light sources and surfaces for low-level segmentation
In background subtraction, cast shadows induce silhouette distortions and object fusions hindering performance of high level algorithms in scene monitoring. We introduce a nonpara...
André Zaccarin, Nicolas Martel-Brisson
140
Voted
PERCOM
2007
ACM
16 years 4 months ago
MaLM: Machine Learning Middleware to Tackle Ontology Heterogeneity
We envisage pervasive computing applications to be predominantly engaged in knowledge-based interactions, where services and information will be found and exchanged based on some ...
Licia Capra
177
Voted
CVPR
2010
IEEE
16 years 1 months ago
Nonparametric Higher-Order Learning for Interactive Segmentation
In this paper, we deal with a generative model for multi-label, interactive segmentation. To estimate the pixel likelihoods for each label, we propose a new higher-order formulatio...
Tae Hoon Kim (Seoul National University), Kyoung M...