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» Modelling Learning Subjects as Relationships
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CIKM
2011
Springer
14 years 4 months ago
S3K: seeking statement-supporting top-K witnesses
Traditional information retrieval techniques based on keyword search help to identify a ranked set of relevant documents, which often contains many documents in the top ranks that...
Steffen Metzger, Shady Elbassuoni, Katja Hose, Ral...
GIS
2006
ACM
16 years 5 months ago
Object localization based on directional information case of 2D vector data
If you were told that some object A was perfectly (or somewhat, or not at all) in some direction (e.g., west, above-right) of some reference object B, where in space would you loo...
Stelian Coros, JingBo Ni, Pascal Matsakis
CIVR
2007
Springer
15 years 10 months ago
Semantics reinforcement and fusion learning for multimedia streams
Fusion of multimedia streams for enhanced performance is a critical problem for retrieval. However, fusion performance tends to easily overfit the hillclimb set used to learn fus...
Dhiraj Joshi, Milind R. Naphade, Apostol Natsev
ICCV
2007
IEEE
16 years 6 months ago
What Can Casual Walkers Tell Us About A 3D Scene?
An approach for incremental learning of a 3D scene from a single static video camera is presented in this paper. In particular, we exploit the presence of casual people walking in...
Diego Rother, Kedar A. Patwardhan, Guillermo Sapir...
KDD
2008
ACM
259views Data Mining» more  KDD 2008»
16 years 4 months ago
Using ghost edges for classification in sparsely labeled networks
We address the problem of classification in partially labeled networks (a.k.a. within-network classification) where observed class labels are sparse. Techniques for statistical re...
Brian Gallagher, Hanghang Tong, Tina Eliassi-Rad, ...