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» Similarity measures for multidimensional data
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98
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ESEM
2007
ACM
15 years 4 months ago
Using Context Distance Measurement to Analyze Results across Studies
Providing robust decision support for software engineering (SE) requires the collection of data across multiple contexts so that one can begin to elicit the context variables that...
Daniela Cruzes, Victor R. Basili, Forrest Shull, M...
102
Voted
EUROCAST
2003
Springer
108views Hardware» more  EUROCAST 2003»
15 years 5 months ago
Fast Entropy-Based Nonrigid Registration
Computer vision tasks such as learning, recognition, classification or segmentation applied to spatial data often requires spatial normalization of repeated features and structure...
Eduardo Suárez, Jose Aurelio Santana, Eduar...
138
Voted
CIVR
2010
Springer
295views Image Analysis» more  CIVR 2010»
15 years 4 months ago
Signature Quadratic Form Distance
The Signature Quadratic Form Distance is an adaptive similarity measure for flexible content-based feature representations of multimedia data. In this paper, we present a deep su...
Christian Beecks, Merih Seran Uysal, Thomas Seidl
COLING
2008
15 years 2 months ago
A Local Alignment Kernel in the Context of NLP
This paper discusses local alignment kernels in the context of the relation extraction task. We define a local alignment kernel based on the Smith-Waterman measure as a sequence s...
Sophia Katrenko, Pieter W. Adriaans
111
Voted
BMCBI
2008
97views more  BMCBI 2008»
15 years 22 days ago
Comparison study on k-word statistical measures for protein: From sequence to 'sequence space'
Background: Many proposed statistical measures can efficiently compare protein sequence to further infer protein structure, function and evolutionary information. They share the s...
Qi Dai, Tian-Ming Wang