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» Learning the Relative Importance of Features in Image Data
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KDD
2008
ACM
147views Data Mining» more  KDD 2008»
16 years 5 months ago
Structured learning for non-smooth ranking losses
Learning to rank from relevance judgment is an active research area. Itemwise score regression, pairwise preference satisfaction, and listwise structured learning are the major te...
Soumen Chakrabarti, Rajiv Khanna, Uma Sawant, Chir...
IJVR
2006
67views more  IJVR 2006»
15 years 4 months ago
Visible Human Based Virtual Medicine
In this paper, we would like to outline the important virtual medicine research related to visible human data sets. In particular, our Visible Human related research will be discus...
Pheng-Ann Heng, Shao-Xiang Zhang, Lin Shi, Yong-Mi...
261
Voted
AAAI
2008
15 years 7 months ago
Multimodal People Detection and Tracking in Crowded Scenes
This paper presents a novel people detection and tracking method based on a multi-modal sensor fusion approach that utilizes 2D laser range and camera data. The data points in the...
Luciano Spinello, Rudolph Triebel, Roland Siegwart
169
Voted
EOR
2007
165views more  EOR 2007»
15 years 4 months ago
Adaptive credit scoring with kernel learning methods
Credit scoring is a method of modelling potential risk of credit applications. Traditionally, logistic regression, linear regression and discriminant analysis are the most popular...
Yingxu Yang
ECTEL
2007
Springer
15 years 10 months ago
Creation of Lithuanian Digital Library of Educational Resources and Services: the Hypothesis, Contemporary Practice, and Future
Currently national digital library of educational resources and services (DLE) for primary and secondary education is under implementation in Lithuania. The article aims to analyse...
Eugenijus Kurilovas, Svetlana Kubilinskiene