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» Learning Classifiers from Semantically Heterogeneous Data
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ICMCS
2007
IEEE
131views Multimedia» more  ICMCS 2007»
14 years 4 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
ICML
2007
IEEE
14 years 11 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
13 years 11 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»
13 years 10 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»
13 years 10 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