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IJCAI
2007
14 years 11 months ago
Constructing New and Better Evaluation Measures for Machine Learning
Evaluation measures play an important role in machine learning because they are used not only to compare different learning algorithms, but also often as goals to optimize in cons...
Jin Huang, Charles X. Ling
DLOG
2010
14 years 8 months ago
Distance-based Measures of Inconsistency and Incoherency for Description Logics
Abstract. Inconsistency and incoherency are two sorts of erroneous information in a DL ontology which have been widely discussed in ontology-based applications. For example, they h...
Yue Ma, Pascal Hitzler
81
Voted
CVPR
2007
IEEE
16 years 6 days ago
Learning Visual Similarity Measures for Comparing Never Seen Objects
In this paper we propose and evaluate an algorithm that learns a similarity measure for comparing never seen objects. The measure is learned from pairs of training images labeled ...
Eric Nowak, Frédéric Jurie
92
Voted
ICIP
2002
IEEE
15 years 11 months ago
Optimal recursive similarity measure estimation for interactive content-based image retrieval
In this paper, a new recursive algorithm is proposed for optimal estimation of similarity measure used in a content-based retrieval system. This is performed through a relevance f...
Anastasios D. Doulamis, Nikolaos D. Doulamis
CHI
2005
ACM
15 years 10 months ago
Feature congestion: a measure of display clutter
Management of clutter is an important factor in the design of user interfaces and information visualizations, allowing improved usability and aesthetics. However, clutter is not a...
Ruth Rosenholtz, Yuanzhen Li, Jonathan Mansfield, ...