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» On the Learnability of Vector Spaces
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ICASSP
2011
IEEE
14 years 1 months ago
A space time array processing for passive geolocalization of radio transmitters
The problem of passive localization is commonly solved by independently measuring intermediate parameters (such as angles of arrival (AOA), times of arrival (TOA)...) on several m...
Jonathan Bosse, Anne Ferréol, Pascal Larzab...
TSP
2008
151views more  TSP 2008»
14 years 9 months ago
Reduce and Boost: Recovering Arbitrary Sets of Jointly Sparse Vectors
The rapid developing area of compressed sensing suggests that a sparse vector lying in a high dimensional space can be accurately and efficiently recovered from only a small set of...
Moshe Mishali, Yonina C. Eldar
TLCA
2009
Springer
15 years 4 months ago
Algebraic Totality, towards Completeness
Finiteness spaces constitute a categorical model of Linear Logic whose objects can be seen as linearly topologised spaces, (a class of topological vector spaces introduced by Lefsc...
Christine Tasson
SDM
2009
SIAM
119views Data Mining» more  SDM 2009»
15 years 7 months ago
Twin Vector Machines for Online Learning on a Budget.
This paper proposes Twin Vector Machine (TVM), a constant space and sublinear time Support Vector Machine (SVM) algorithm for online learning. TVM achieves its favorable scaling b...
Zhuang Wang, Slobodan Vucetic
COLING
2002
14 years 9 months ago
Word Sense Disambiguation using Static and Dynamic Sense Vectors
It is popular in WSD to use contextual information in training sense tagged data. Co-occurring words within a limited window-sized context support one sense among the semantically...
Jong-Hoon Oh, Key-Sun Choi