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KDD
2012
ACM
201views Data Mining» more  KDD 2012»
11 years 10 months ago
Learning from crowds in the presence of schools of thought
Crowdsourcing has recently become popular among machine learning researchers and social scientists as an effective way to collect large-scale experimental data from distributed w...
Yuandong Tian, Jun Zhu

Publication
364views
14 years 2 months ago
CV-SLAM: A new ceiling vision-based SLAM technique
We propose a fast and robust CV-SLAM (Ceiling Vision –based Simultaneous Localization and Mapping) technique using a single ceiling vision sensor. The proposed algorithm is suita...
Woo Yeon Jeong (Seoul National University), Kyoung...
BMCBI
2006
179views more  BMCBI 2006»
13 years 7 months ago
Accurate and unambiguous tag-to-gene mapping in serial analysis of gene expression
Background: In this study, we present a robust and reliable computational method for tag-togene assignment in serial analysis of gene expression (SAGE). The method relies on curre...
Rodrigo Malig, Cristian Varela, Eduardo Agosin, Fr...
SSPR
2004
Springer
14 years 29 days ago
Clustering with Soft and Group Constraints
Several clustering algorithms equipped with pairwise hard constraints between data points are known to improve the accuracy of clustering solutions. We develop a new clustering alg...
Martin H. C. Law, Alexander P. Topchy, Anil K. Jai...
CVPR
2006
IEEE
14 years 9 months ago
Groupwise point pattern registration using a novel CDF-based Jensen-Shannon Divergence
In this paper, we propose a novel and robust algorithm for the groupwise non-rigid registration of multiple unlabeled point-sets with no bias toward any of the given pointsets. To...
Fei Wang, Baba C. Vemuri, Anand Rangarajan