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PKDD
2009
Springer
170views Data Mining» more  PKDD 2009»
15 years 10 months ago
Statistical Relational Learning with Formal Ontologies
Abstract. We propose a learning approach for integrating formal knowledge into statistical inference by exploiting ontologies as a semantically rich and fully formal representation...
Achim Rettinger, Matthias Nickles, Volker Tresp
PAMI
2006
205views more  PAMI 2006»
15 years 4 months ago
Learning Outdoor Color Classification
We present an algorithm for color classification with explicit illuminant estimation and compensation. A Gaussian classifier is trained with color samples from just one training im...
Roberto Manduchi
PAKDD
2005
ACM
96views Data Mining» more  PAKDD 2005»
15 years 9 months ago
Kernels over Relational Algebra Structures
Abstract. In this paper we present a novel and general framework based on concepts of relational algebra for kernel-based learning over relational schema. We exploit the notion of ...
Adam Woznica, Alexandros Kalousis, Melanie Hilario
133
Voted
VLDB
2000
ACM
118views Database» more  VLDB 2000»
15 years 7 months ago
Decision Tables: Scalable Classification Exploring RDBMS Capabilities
In this paper, we report our success in building efficient scalable classifiers in the form of decision tables by exploring capabilities of modern relational database management s...
Hongjun Lu, Hongyan Liu
CVPR
2008
IEEE
16 years 6 months ago
Unsupervised learning of probabilistic object models (POMs) for object classification, segmentation and recognition
We present a new unsupervised method to learn unified probabilistic object models (POMs) which can be applied to classification, segmentation, and recognition. We formulate this a...
Yuanhao Chen, Long Zhu, Alan L. Yuille, HongJiang ...