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BIOINFORMATICS
2008
172views more  BIOINFORMATICS 2008»
13 years 5 months ago
Fitting a geometric graph to a protein-protein interaction network
Motivation: Finding a good network null model for protein-protein interaction (PPI) networks is a fundamental issue. Such a model would provide insights into the interplay between...
Desmond J. Higham, Marija Rasajski, Natasa Przulj
SBBD
2004
106views Database» more  SBBD 2004»
13 years 6 months ago
Twisting the Metric Space to Achieve Better Metric Trees
In order to index text fields in XML databases for similarity queries, M-Trees may be applied. However, some datasets experiments using M-Trees for this purpose resulted in low qu...
César Feijó Nadvorny, Carlos A. Heus...
DLOG
2001
13 years 6 months ago
A Note on Concepts and Distances
We combine the description logic ALC with the metric logics defined Entities that are conceived of as abstract points in the realm of ALC are given a spatial extension via an `ext...
Oliver Kutz, Frank Wolter, Michael Zakharyaschev
ALENEX
2001
105views Algorithms» more  ALENEX 2001»
13 years 6 months ago
A Probabilistic Spell for the Curse of Dimensionality
Range searches in metric spaces can be very di cult if the space is \high dimensional", i.e. when the histogram of distances has a large mean and a small variance. The so-cal...
Edgar Chávez, Gonzalo Navarro
APPROX
2010
Springer
137views Algorithms» more  APPROX 2010»
13 years 6 months ago
Online Embeddings
We initiate the study of on-line metric embeddings. In such an embedding we are given a sequence of n points X = x1, . . . , xn one by one, from a metric space M = (X, D). Our goal...
Piotr Indyk, Avner Magen, Anastasios Sidiropoulos,...
EWCBR
2008
Springer
13 years 6 months ago
Conservative Adaptation in Metric Spaces
Conservative adaptation consists in a minimal change on a source case to be consistent with the target case, given the domain knowledge. It has been formalised in a previous work t...
Julien Cojan, Jean Lieber
CIKM
2008
Springer
13 years 7 months ago
A metric cache for similarity search
Similarity search in metric spaces is a general paradigm that can be used in several application fields. It can also be effectively exploited in content-based image retrieval syst...
Fabrizio Falchi, Claudio Lucchese, Salvatore Orlan...
CIARP
2009
Springer
13 years 8 months ago
A Brief Index for Proximity Searching
A large number of computer tasks can be modeled as the search for an object near a given query. From multimedia databases to learning algorithms, data mining and pattern recognitio...
Eric Sadit Tellez, Edgar Chávez, Antonio Ca...
FOCS
2004
IEEE
13 years 8 months ago
Measured Descent: A New Embedding Method for Finite Metrics
We devise a new embedding technique, which we call measured descent, based on decomposing a metric space locally, at varying speeds, according to the density of some probability m...
Robert Krauthgamer, James R. Lee, Manor Mendel, As...
CCA
2009
Springer
13 years 9 months ago
Effective Dispersion in Computable Metric Spaces
We investigate the relationship between computable metric spaces (X, d, ) and (X, d, ), where (X, d) is a given metric space. In the case of Euclidean space, and are equivalent u...
Zvonko Iljazovic