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» A general dimension for query learning
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CORR
2010
Springer
124views Education» more  CORR 2010»
13 years 9 months ago
Online Learning of Noisy Data with Kernels
We study online learning when individual instances are corrupted by adversarially chosen random noise. We assume the noise distribution is unknown, and may change over time with n...
Nicolò Cesa-Bianchi, Shai Shalev-Shwartz, O...
CIKM
2005
Springer
14 years 2 months ago
Discretization based learning approach to information retrieval
We approached the problem as learning how to order documents by estimated relevance with respect to a user query. Our support vector machines based classifier learns from the rele...
Dmitri Roussinov, Weiguo Fan, Fernando A. Das Neve...
PAMI
2010
200views more  PAMI 2010»
13 years 7 months ago
Learning Context-Sensitive Shape Similarity by Graph Transduction
—Shape similarity and shape retrieval are very important topics in computer vision. The recent progress in this domain has been mostly driven by designing smart shape descriptors...
Xiang Bai, Xingwei Yang, Longin Jan Latecki, Wenyu...
ECCV
2008
Springer
14 years 10 months ago
Improving Shape Retrieval by Learning Graph Transduction
Abstract. Shape retrieval/matching is a very important topic in computer vision. The recent progress in this domain has been mostly driven by designing smart features for providing...
Xingwei Yang, Xiang Bai, Longin Jan Latecki, Zhuow...
EDBT
2011
ACM
225views Database» more  EDBT 2011»
13 years 12 days ago
On (not) indexing quadratic form distance by metric access methods
The quadratic form distance (QFD) has been utilized as an effective similarity function in multimedia retrieval, in particular, when a histogram representation of objects is used...
Tomás Skopal, Tomás Bartos, Jakub Lo...