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» Learning Classifiers from Semantically Heterogeneous Data
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135
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ICMCS
2007
IEEE
131views Multimedia» more  ICMCS 2007»
15 years 8 months ago
Semantic Retrieval with Enhanced Matchmaking and Multi-Modality Ontology
This paper presents a method for automatically annotating and retrieving animal images. Our model is a multi-modality ontology extended from our previous works in the sense that b...
Huan Wang, Liang-Tien Chia, Song Liu
125
Voted
ICML
2007
IEEE
16 years 3 months ago
Learning to combine distances for complex representations
The k-Nearest Neighbors algorithm can be easily adapted to classify complex objects (e.g. sets, graphs) as long as a proper dissimilarity function is given over an input space. Bo...
Adam Woznica, Alexandros Kalousis, Melanie Hilario
GEOINFO
2007
15 years 3 months ago
Ecologically-aware Queries for Biodiversity Research
To carry ecologically-relevant biodiversity research, one must collect chunks of information on species and their habitats from a large number of institutions and correlate them us...
Luiz Celso Gomes Jr., Claudia Bauzer Medeiros
BMCBI
2008
134views more  BMCBI 2008»
15 years 2 months ago
Identification of transcription factor contexts in literature using machine learning approaches
Background: Availability of information about transcription factors (TFs) is crucial for genome biology, as TFs play a central role in the regulation of gene expression. While man...
Hui Yang, Goran Nenadic, John A. Keane
PAMI
2006
136views more  PAMI 2006»
15 years 2 months ago
Data Driven Image Models through Continuous Joint Alignment
This paper presents a family of techniques that we call congealing for modeling image classes from data. The idea is to start with a set of images and make them appear as similar a...
Erik G. Learned-Miller