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ICASSP
2011
IEEE
14 years 5 months ago
Similarity learning for semi-supervised multi-class boosting
In semi-supervised classification boosting, a similarity measure is demanded in order to measure the distance between samples (both labeled and unlabeled). However, most of the e...
Q. Y. Wang, Pong Chi Yuen, Guo-Can Feng
PR
2006
141views more  PR 2006»
15 years 1 months ago
Relaxational metric adaptation and its application to semi-supervised clustering and content-based image retrieval
The performance of many supervised and unsupervised learning algorithms is very sensitive to the choice of an appropriate distance metric. Previous work in metric learning and ada...
Hong Chang, Dit-Yan Yeung, William K. Cheung
ESANN
2000
15 years 2 months ago
Evaluating SOMs using order metrics
It has been shown that self-organized maps, when adequately trained with the set of integers 1 to 32, lay out real numbers in a 2D map in an ordering that is superior to any of the...
Arnulfo P. Azcarraga
SIGMOD
2004
ACM
188views Database» more  SIGMOD 2004»
16 years 1 months ago
Online Event-driven Subsequence Matching over Financial Data Streams
Subsequence similarity matching in time series databases is an important research area for many applications. This paper presents a new approximate approach for automatic online s...
Huanmei Wu, Betty Salzberg, Donghui Zhang
CIVR
2008
Springer
279views Image Analysis» more  CIVR 2008»
15 years 3 months ago
Semi-supervised learning of object categories from paired local features
This paper presents a semi-supervised learning (SSL) approach to find similarities of images using statistics of local matches. SSL algorithms are well known for leveraging a larg...
Wen Wu, Jie Yang