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ECCV
2010
Springer
13 years 9 months ago
MIForests: Multiple-Instance Learning with Randomized Trees
Abstract. Multiple-instance learning (MIL) allows for training classifiers from ambiguously labeled data. In computer vision, this learning paradigm has been recently used in many ...
Christian Leistner, Amir Saffari, Horst Bischof
ICPR
2010
IEEE
13 years 9 months ago
Images in News
A system, called NewsStand, is introduced that automatically extracts images from news articles. The system takes RSS feeds of news article and applies an online clustering algori...
Jagan Sankaranarayanan, Hanan Samet
EOR
2007
165views more  EOR 2007»
13 years 9 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
BMCBI
2010
131views more  BMCBI 2010»
13 years 6 months ago
A two-step site and mRNA-level model for predicting microRNA targets
Background: Despite experiments showing that the number of microRNA (miRNA) target sites is critical for miRNA targeting, most existing methods focus on identifying individual miR...
Takaya Saito, Pål Sætrom
ECCV
2006
Springer
14 years 11 months ago
Monocular Tracking of 3D Human Motion with a Coordinated Mixture of Factor Analyzers
Filtering based algorithms have become popular in tracking human body pose. Such algorithms can suffer the curse of dimensionality due to the high dimensionality of the pose state ...
Rui Li, Ming-Hsuan Yang, Stan Sclaroff, Tai-Peng T...