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» An Experiment with Distance Measures for Clustering
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IJCNN
2007
IEEE
15 years 4 months ago
A Piecewise Linear Network Classifier
— A piecewise linear network is discussed which classifies N-dimensional input vectors. The network uses a distance measure to assign incoming input vectors to an appropriate clu...
A. A. Abdurrab, Michael T. Manry, Jiang Li, Sanjee...
ICASSP
2009
IEEE
15 years 4 months ago
Fingerprint matching based on distance metric learning
This paper considers a method for learning a distance metric in a fingerprinting system which identifies a query content by measuring the distance between the fingerprint of th...
Dalwon Jang, Chang D. Yoo
ETRA
2010
ACM
160views Biometrics» more  ETRA 2010»
14 years 7 months ago
A vector-based, multidimensional scanpath similarity measure
A great need exists in many fields of eye-tracking research for a robust and general method for scanpath comparisons. Current measures either quantize scanpaths in space (string e...
Halszka Jarodzka, Kenneth Holmqvist, Marcus Nystr&...
73
Voted
PAMI
2010
184views more  PAMI 2010»
14 years 8 months ago
Accurate Image Search Using the Contextual Dissimilarity Measure
— This paper introduces the contextual dissimilarity measure which significantly improves the accuracy of bag-offeatures based image search. Our measure takes into account the l...
Herve Jegou, Cordelia Schmid, Hedi Harzallah, Jako...
86
Voted
CLEF
2007
Springer
15 years 1 months ago
Experiments in Classification Clustering and Thesaurus Expansion for Domain Specific Cross-Language Retrieval
In this paper we will describe Berkeley's approach to the Domain Specific (DS) track for CLEF 2007. This year we are using forms of the Entry Vocabulary Indexes and Thesaurus...
Ray R. Larson