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» Unsupervised Learning of Generalized Names
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96
Voted
MM
2010
ACM
158views Multimedia» more  MM 2010»
14 years 9 months ago
Image segmentation with patch-pair density priors
In this paper, we investigate how an unlabeled image corpus can facilitate the segmentation of any given image. A simple yet efficient multi-task joint sparse representation model...
Xiaobai Liu, Jiashi Feng, Shuicheng Yan, Hai Jin
KCAP
2005
ACM
15 years 4 months ago
Towards Browsing Distant Metadata Using Semantic Signatures
In this document, we describe a light-weighted ontology mediation method that allows users to send semantic queries to distant data repositories to browse for learning object meta...
Andrew Choi, Marek Hatala
ECAI
2000
Springer
15 years 3 months ago
Naive Bayes and Exemplar-based Approaches to Word Sense Disambiguation Revisited
Abstract. This paper describes an experimental comparison between two standard supervised learning methods, namely Naive Bayes and Exemplar–basedclassification, on the Word Sens...
Gerard Escudero, Lluís Màrquez, Germ...
ML
2010
ACM
141views Machine Learning» more  ML 2010»
14 years 9 months ago
Relational retrieval using a combination of path-constrained random walks
Scientific literature with rich metadata can be represented as a labeled directed graph. This graph representation enables a number of scientific tasks such as ad hoc retrieval o...
Ni Lao, William W. Cohen
81
Voted
ICDM
2010
IEEE
178views Data Mining» more  ICDM 2010»
14 years 9 months ago
Exploiting Unlabeled Data to Enhance Ensemble Diversity
Ensemble learning aims to improve generalization ability by using multiple base learners. It is well-known that to construct a good ensemble, the base learners should be accurate a...
Min-Ling Zhang, Zhi-Hua Zhou