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» Model-Checking Based Data Retrieval
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MMS
2006
14 years 11 months ago
Evaluation and analysis of similarity measures for content-based visual information retrieval
The selection of appropriate proximity measures is one of the crucial success factors of content-based visual information retrieval. In this area of research, proximity measures ar...
Horst Eidenberger
ACISICIS
2007
IEEE
15 years 6 months ago
A Modified K-means Algorithm for Noise Reduction in Optical Motion Capture Data
This paper presents a modified K-means algorithm that can be used for removing noise in multicolor motion capture image sequences. These images have been produced using the Illumi...
Jan Carlo Barca, Grace W. Rumantir
SIGIR
2012
ACM
13 years 2 months ago
Boosting multi-kernel locality-sensitive hashing for scalable image retrieval
Similarity search is a key challenge for multimedia retrieval applications where data are usually represented in high-dimensional space. Among various algorithms proposed for simi...
Hao Xia, Pengcheng Wu, Steven C. H. Hoi, Rong Jin
CVPR
2001
IEEE
16 years 1 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
127
Voted
ICCV
2007
IEEE
16 years 1 months ago
Locally Smooth Metric Learning with Application to Image Retrieval
In this paper, we propose a novel metric learning method based on regularized moving least squares. Unlike most previous metric learning methods which learn a global Mahalanobis d...
Dit-Yan Yeung, Hong Chang