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» On the Learnability of Vector Spaces
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SOFSEM
2007
Springer
14 years 2 months ago
Spatial Selection of Sparse Pivots for Similarity Search in Metric Spaces
Similarity search is a fundamental operation for applications that deal with unstructured data sources. In this paper we propose a new pivot-based method for similarity search, ca...
Oscar Pedreira, Nieves R. Brisaboa
ICIP
2000
IEEE
14 years 10 months ago
Registration of Digital Ophthalmic Images Using Vector Mapping
This paper outlines a technique for the automated alignment of digital images of the retina under the assumption that they differ spatially by a geometric global transform. This a...
Neil Ryan, Conor Heneghan, M. Cahill
ICDE
1995
IEEE
98views Database» more  ICDE 1995»
14 years 9 months ago
Relational Database Compression Using Augmented Vector Quantization
Data compression is one way to alleviate the 1/0bottleneck problem faced by I/O-intensive applications such as databases. However, this approach is not widely used because of the ...
Wee Keong Ng, Chinya V. Ravishankar
ECML
2004
Springer
14 years 1 months ago
Experiments in Value Function Approximation with Sparse Support Vector Regression
Abstract. We present first experiments using Support Vector Regression as function approximator for an on-line, sarsa-like reinforcement learner. To overcome the batch nature of S...
Tobias Jung, Thomas Uthmann
CCCG
2008
13 years 10 months ago
The Solution Path of the Slab Support Vector Machine
Given a set of points in a Hilbert space that can be separated from the origin. The slab support vector machine (slab SVM) is an optimization problem that aims at finding a slab (...
Joachim Giesen, Madhusudan Manjunath, Michael Eige...