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» Manifold Regularization: A Geometric Framework for Learning ...
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MM
2004
ACM
152views Multimedia» more  MM 2004»
13 years 10 months ago
Manifold-ranking based image retrieval
In this paper, we propose a novel transductive learning framework named manifold-ranking based image retrieval (MRBIR). Given a query image, MRBIR first makes use of a manifold ra...
Jingrui He, Mingjing Li, HongJiang Zhang, Hanghang...
ML
2010
ACM
185views Machine Learning» more  ML 2010»
13 years 3 days ago
Learning to rank on graphs
Graph representations of data are increasingly common. Such representations arise in a variety of applications, including computational biology, social network analysis, web applic...
Shivani Agarwal
KDD
2012
ACM
205views Data Mining» more  KDD 2012»
11 years 7 months ago
Rank-loss support instance machines for MIML instance annotation
Multi-instance multi-label learning (MIML) is a framework for supervised classification where the objects to be classified are bags of instances associated with multiple labels....
Forrest Briggs, Xiaoli Z. Fern, Raviv Raich
ACIVS
2007
Springer
13 years 11 months ago
Model-Based Image Segmentation for Multi-view Human Gesture Analysis
Multi-camera networks bring in potentials for a variety of vision-based applications through provisioning of rich visual information. In this paper a method of image segmentation f...
Chen Wu, Hamid K. Aghajan
WWW
2010
ACM
14 years 9 days ago
A scalable machine-learning approach for semi-structured named entity recognition
Named entity recognition studies the problem of locating and classifying parts of free text into a set of predefined categories. Although extensive research has focused on the de...
Utku Irmak, Reiner Kraft