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» On the Learnability of Vector Spaces
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SOFSEM
2007
Springer
15 years 6 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
16 years 1 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»
16 years 1 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
15 years 5 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
15 years 1 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...