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» A New Study on Distance Metrics as Similarity Measurement
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CVPR
2001
IEEE
14 years 9 months ago
Adaptive Quasiconformal Kernel Metric for Image Retrieval
This paper presents a new approach to ranking relevant images for retrieval. Distance in the feature space associated with a kernel is used to rank relevant images. An adaptive qu...
Douglas R. Heisterkamp, Jing Peng, H. K. Dai
KDD
2004
ACM
182views Data Mining» more  KDD 2004»
14 years 8 months ago
Rotation invariant distance measures for trajectories
For the discovery of similar patterns in 1D time-series, it is very typical to perform a normalization of the data (for example a transformation so that the data follow a zero mea...
Michail Vlachos, Dimitrios Gunopulos, Gautam Das
ICASSP
2011
IEEE
12 years 11 months ago
Multivariate texture retrieval using the SIRV representation and the geodesic distance
This paper presents a new wavelet based retrieval approach based on Spherically Invariant Random Vector (SIRV) modeling of wavelet subbands. Under this multivariate model, wavelet...
Lionel Bombrun, Noureddine Lasmar, Yannick Berthou...
ICASSP
2010
IEEE
13 years 8 months ago
Robust similarity metrics between audio signals based on asymmetrical spectral envelope matching
In this paper, a new type of metric that defines the similarity between musical audio signals is proposed. Based on the spectral flatness criterion, those metrics achieve low co...
Mathieu Lagrange, Roland Badeau, Gaël Richard
BMCBI
2007
128views more  BMCBI 2007»
13 years 7 months ago
Compression-based classification of biological sequences and structures via the Universal Similarity Metric: experimental assess
Background: Similarity of sequences is a key mathematical notion for Classification and Phylogenetic studies in Biology. It is currently primarily handled using alignments. Howeve...
Paolo Ferragina, Raffaele Giancarlo, Valentina Gre...