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COLING
2010
14 years 6 months ago
A Comparison of Models for Cost-Sensitive Active Learning
Active Learning (AL) is a selective sampling strategy which has been shown to be particularly cost-efficient by drastically reducing the amount of training data to be manually ann...
Katrin Tomanek, Udo Hahn
SIMULATION
2011
14 years 6 months ago
The Activity-tracking paradigm in discrete-event modeling and simulation: The case of spatially continuous distributed systems
From a modelling and simulation perspective, studying dynamic systems consists of focusing on changes in states. According to the precision of state changes, generic algorithms ca...
Alexandre Muzy, Rajanikanth Jammalamadaka, Bernard...
ICASSP
2011
IEEE
14 years 3 months ago
Exploiting an interplay between norms to analyze scalar quantization schemes
Quantization is intrinsic to several data acquisition systems. This process is especially important in distributed settings, where observations must rst be compressed before they ...
Parimal Parag, Jean-François Chamberland
CVIU
2011
14 years 3 months ago
Graph attribute embedding via Riemannian submersion learning
In this paper, we tackle the problem of embedding a set of relational structures into a metric space for purposes of matching and categorisation. To this end, we view the problem ...
Haifeng Zhao, Antonio Robles-Kelly, Jun Zhou, Jian...
CVPR
2012
IEEE
13 years 2 months ago
Image categorization using Fisher kernels of non-iid image models
The bag-of-words (BoW) model treats images as an unordered set of local regions and represents them by visual word histograms. Implicitly, regions are assumed to be identically an...
Ramazan Gokberk Cinbis, Jakob J. Verbeek, Cordelia...