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BIODATAMINING
2008
96views more  BIODATAMINING 2008»
13 years 10 months ago
Fast approximate hierarchical clustering using similarity heuristics
Background: Agglomerative hierarchical clustering (AHC) is a common unsupervised data analysis technique used in several biological applications. Standard AHC methods require that...
Meelis Kull, Jaak Vilo
SIGIR
2008
ACM
13 years 10 months ago
Learning to reduce the semantic gap in web image retrieval and annotation
We study in this paper the problem of bridging the semantic gap between low-level image features and high-level semantic concepts, which is the key hindrance in content-based imag...
Changhu Wang, Lei Zhang 0001, Hong-Jiang Zhang
ECCV
2004
Springer
15 years 2 days ago
Seamless Image Stitching in the Gradient Domain
The quality of image stitching is measured by the similarity of the stitched image to each of the input images, and by the visibility of the seam between the stitched images. In or...
Anat Levin, Assaf Zomet, Shmuel Peleg, Yair Weiss
LREC
2010
155views Education» more  LREC 2010»
13 years 11 months ago
How Specialized are Specialized Corpora? Behavioral Evaluation of Corpus Representativeness for Maltese
In this paper we bring to light a novel intersection between corpus linguistics and behavioral data that can be employed as an evaluation metric for resources for low-density lang...
Jerid Francom, Amy LaCross, Adam Ussishkin
ICPR
2006
IEEE
14 years 11 months ago
Dissimilarity-based classification for vectorial representations
General dissimilarity-based learning approaches have been proposed for dissimilarity data sets [11, 10]. They arise in problems in which direct comparisons of objects are made, e....
Elzbieta Pekalska, Robert P. W. Duin