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» On the Learnability of Vector Spaces
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ICDM
2005
IEEE
126views Data Mining» more  ICDM 2005»
14 years 2 months ago
Text Representation: From Vector to Tensor
In this paper, we propose a text representation model, Tensor Space Model (TSM), which models the text by multilinear algebraic high-order tensor instead of the traditional vector...
Ning Liu, Benyu Zhang, Jun Yan, Zheng Chen, Wenyin...
ML
2010
ACM
181views Machine Learning» more  ML 2010»
13 years 6 months ago
Decomposing the tensor kernel support vector machine for neuroscience data with structured labels
Abstract The tensor kernel has been used across the machine learning literature for a number of purposes and applications, due to its ability to incorporate samples from multiple s...
David R. Hardoon, John Shawe-Taylor
VISUALIZATION
2003
IEEE
14 years 1 months ago
Image Space Based Visualization of Unsteady Flow on Surfaces
We present a novel technique for direct visualization of unsteady flow on surfaces from computational fluid dynamics. The method generates dense representations of time-dependen...
Robert S. Laramee, Bruno Jobard, Helwig Hauser
STOC
1998
ACM
190views Algorithms» more  STOC 1998»
14 years 21 days ago
Efficient Search for Approximate Nearest Neighbor in High Dimensional Spaces
We address the problem of designing data structures that allow efficient search for approximate nearest neighbors. More specifically, given a database consisting of a set of vecto...
Eyal Kushilevitz, Rafail Ostrovsky, Yuval Rabani
MOC
2010
13 years 3 months ago
Multigrid in a weighted space arising from axisymmetric electromagnetics
Consider the space of two dimensional vector functions whose components and curl are square integrable with respect to the degenerate weight given by the radial variable. This spac...
Dylan M. Copeland, Jayadeep Gopalakrishnan, Minah ...