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» On the Learnability of Vector Spaces
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VC
2010
177views more  VC 2010»
14 years 8 months ago
Color-to-gray conversion using ISOMAP
In this paper we present a new algorithm to transform an RGB color image to a grayscale image. We propose using non-linear dimension reduction techniques to map higher dimensional ...
Ming Cui, Jiuxiang Hu, Anshuman Razdan, Peter Wonk...
ACL
2010
14 years 8 months ago
Bilingual Sense Similarity for Statistical Machine Translation
This paper proposes new algorithms to compute the sense similarity between two units (words, phrases, rules, etc.) from parallel corpora. The sense similarity scores are computed ...
Boxing Chen, George F. Foster, Roland Kuhn
FOCS
2010
IEEE
14 years 8 months ago
Learning Convex Concepts from Gaussian Distributions with PCA
We present a new algorithm for learning a convex set in n-dimensional space given labeled examples drawn from any Gaussian distribution. The complexity of the algorithm is bounded ...
Santosh Vempala
EUROCAST
2009
Springer
153views Hardware» more  EUROCAST 2009»
14 years 8 months ago
Algorithm for Testing the Leibniz Algebra Structure
Abstract. Given a basis of a vector space V over a field K and a multiplication table which defines a bilinear map on V , we develop a computer program on Mathematica which checks ...
José Manuel Casas, Manuel A. Insua, Manuel ...
ICASSP
2011
IEEE
14 years 1 months ago
Smart grid monitoring for intrusion and fault detection with new locally optimum testing procedures
The vulnerability of smart grid systems is a growing concern. Signal detection theory is employed here to detect a change in the system. We employ a discrete-time linear state spa...
Qian He, Rick S. Blum