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DEXA
2009
Springer
222views Database» more  DEXA 2009»
14 years 2 months ago
On Index-Free Similarity Search in Metric Spaces
Metric access methods (MAMs) serve as a tool for speeding similarity queries. However, all MAMs developed so far are index-based; they need to build an index on a given database. T...
Tomás Skopal, Benjamin Bustos
ICPR
2008
IEEE
14 years 2 months ago
Applying similarity metrics to 3D acquisition in structured-light systems
Structured light systems use projected light to augment a scene with extra information. The goal of such systems is often the recovery of depth information based on 2D image(s) fr...
Graylin T. Jay, Randy Smith
ERSHOV
2009
Springer
13 years 11 months ago
Indexing Dense Nested Metric Spaces for Efficient Similarity Search
Abstract. Searching in metric spaces is a very active field since it offers methods for indexing and searching by similarity in collections of unstructured data. These methods sele...
Nieves R. Brisaboa, Miguel Rodríguez Luaces...
OPODIS
2008
13 years 9 months ago
Graph Augmentation via Metric Embedding
Kleinberg [17] proposed in 2000 the first random graph model achieving to reproduce small world navigability, i.e. the ability to greedily discover polylogarithmic routes between a...
Emmanuelle Lebhar, Nicolas Schabanel
ML
2002
ACM
178views Machine Learning» more  ML 2002»
13 years 7 months ago
Metric-Based Methods for Adaptive Model Selection and Regularization
We present a general approach to model selection and regularization that exploits unlabeled data to adaptively control hypothesis complexity in supervised learning tasks. The idea ...
Dale Schuurmans, Finnegan Southey