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ICCV
2009
IEEE
15 years 5 months ago
Efficient multi-label ranking for multi-class learning: Application to object recognition
Multi-label learning is useful in visual object recognition when several objects are present in an image. Conventional approaches implement multi-label learning as a set of binary...
Serhat Selcuk Bucak, Pavan Kumar Mallapragada, Ron...
JMLR
2010
128views more  JMLR 2010»
15 years 2 months ago
Fluid Dynamics Models for Low Rank Discriminant Analysis
We consider the problem of reducing the dimensionality of labeled data for classification. Unfortunately, the optimal approach of finding the low-dimensional projection with minim...
Yung-Kyun Noh, Byoung-Tak Zhang, Daniel D. Lee
SDM
2012
SIAM
282views Data Mining» more  SDM 2012»
13 years 10 months ago
Citation Prediction in Heterogeneous Bibliographic Networks
To reveal information hiding in link space of bibliographical networks, link analysis has been studied from different perspectives in recent years. In this paper, we address a no...
Xiao Yu, Quanquan Gu, Mianwei Zhou, Jiawei Han
ICAS
2009
IEEE
169views Robotics» more  ICAS 2009»
16 years 2 months ago
Ontonuts: Reusable Semantic Components for Multi-agent Systems
The volumes of data in information systems are growing drastically. The systems become increasingly complex in trying to handle heterogeneity of ubiquitous components, standards, ...
Sergiy Nikitin, Artem Katasonov, Vagan Y. Terziyan
ICASSP
2009
IEEE
16 years 2 months ago
Identification of neurons participating in cell assemblies
Chances to detect assembly activity are expected to increase if the spiking activities of large numbers of neurons are recorded simultaneously. Although such massively parallel re...
Sonja Grün, Denise Berger, Christian Borgelt