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CVIU
2008
296views more  CVIU 2008»
13 years 10 months ago
Image segmentation evaluation: A survey of unsupervised methods
Image segmentation is an important processing step in many image, video and computer vision applications. Extensive research has been done in creating many different approaches an...
Hui Zhang, Jason E. Fritts, Sally A. Goldman
DKE
2008
79views more  DKE 2008»
13 years 10 months ago
Extracting k most important groups from data efficiently
We study an important data analysis operator, which extracts the k most important groups from data (i.e., the k groups with the highest aggregate values). In a data warehousing co...
Man Lung Yiu, Nikos Mamoulis, Vagelis Hristidis
EOR
2008
106views more  EOR 2008»
13 years 10 months ago
Convergent Lagrangian heuristics for nonlinear minimum cost network flows
We consider the separable nonlinear and strictly convex single-commodity network flow problem (SSCNFP). We develop a computational scheme for generating a primal feasible solution...
Torbjörn Larsson, Johan Marklund, Caroline Ol...
ARTMED
2006
80views more  ARTMED 2006»
13 years 10 months ago
A formal theory for spatial representation and reasoning in biomedical ontologies
Objective: The objective of this paper is to demonstrate how a formal spatial theory can be used as an important tool for disambiguating the spatial information embodied in biomed...
Maureen Donnelly, Thomas Bittner, Cornelius Rosse
BMCBI
2006
112views more  BMCBI 2006»
13 years 10 months ago
Algorithms for incorporating prior topological information in HMMs: application to transmembrane proteins
Background: Hidden Markov Models (HMMs) have been extensively used in computational molecular biology, for modelling protein and nucleic acid sequences. In many applications, such...
Pantelis G. Bagos, Theodore D. Liakopoulos, Stavro...
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