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» On the Learnability of Vector Spaces
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CORR
2010
Springer
143views Education» more  CORR 2010»
14 years 10 months ago
Mathematical Foundations for a Compositional Distributional Model of Meaning
We propose a mathematical framework for a unification of the distributional theory of meaning in terms of vector space models, and a compositional theory for grammatical types, fo...
Bob Coecke, Mehrnoosh Sadrzadeh, Stephen Clark
SSD
2007
Springer
146views Database» more  SSD 2007»
15 years 4 months ago
Blind Evaluation of Nearest Neighbor Queries Using Space Transformation to Preserve Location Privacy
In this paper we propose a fundamental approach to perform the class of Nearest Neighbor (NN) queries, the core class of queries used in many of the location-based services, withou...
Ali Khoshgozaran, Cyrus Shahabi
ICIP
2005
IEEE
15 years 11 months ago
Shape space sampling distributions and their impact on visual tracking
Object motions can be represented as a sequence of shape deformations and translations which can be interpretated as a sequence of points in N-dimensional shape space. These space...
Amit Kale, Christopher O. Jaynes
TPHOL
2005
IEEE
15 years 3 months ago
A HOL Theory of Euclidean Space
We describe a formalization of the elementary algebra, topology and analysis of finite-dimensional Euclidean space in the HOL Light theorem prover. (Euclidean space is RN with the...
John Harrison
MIR
2005
ACM
137views Multimedia» more  MIR 2005»
15 years 3 months ago
Similarity space projection for web image search and annotation
Web image search has been explored and developed in academic as well as commercial areas for over a decade. To measure the similarity between Web images and user queries, most of ...
Ying Liu, Tao Qin, Tie-Yan Liu, Lei Zhang, Wei-Yin...