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ICDAR
2003
IEEE
14 years 1 months ago
Optimizing Binary Feature Vector Similarity Measure using Genetic Algorithm and Handwritten Character Recognition
Classifying an unknown input is a fundamental problem in pattern recognition. A common method is to define a distance metric between patterns and find the most similar pattern i...
Sung-Hyuk Cha, Charles C. Tappert, Sargur N. Sriha...
ACCV
2007
Springer
14 years 2 months ago
Conic Fitting Using the Geometric Distance
We consider the problem of fitting a conic to a set of 2D points. It is commonly agreed that minimizing geometrical error, i.e. the sum of squared distances between the points and...
Peter F. Sturm, Pau Gargallo
CVPR
2007
IEEE
14 years 10 months ago
A contextual dissimilarity measure for accurate and efficient image search
In this paper we present two contributions to improve accuracy and speed of an image search system based on bag-of-features: a contextual dissimilarity measure (CDM) and an effici...
Herve Jegou, Hedi Harzallah, Cordelia Schmid
IVC
2007
184views more  IVC 2007»
13 years 8 months ago
Image distance functions for manifold learning
Many natural image sets are samples of a low-dimensional manifold in the space of all possible images. When the image data set is not a linear combination of a small number of bas...
Richard Souvenir, Robert Pless
EMO
2005
Springer
194views Optimization» more  EMO 2005»
14 years 2 months ago
An EMO Algorithm Using the Hypervolume Measure as Selection Criterion
Abstract. The hypervolume measure is one of the most frequently applied measures for comparing the results of evolutionary multiobjective optimization algorithms (EMOA). The idea t...
Michael Emmerich, Nicola Beume, Boris Naujoks