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» Arguing from Experience to Classifying Noisy Data
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IJCAI
2007
13 years 10 months ago
Learning to Identify Unexpected Instances in the Test Set
Traditional classification involves building a classifier using labeled training examples from a set of predefined classes and then applying the classifier to classify test instan...
Xiaoli Li, Bing Liu, See-Kiong Ng
CORR
2010
Springer
124views Education» more  CORR 2010»
13 years 9 months ago
Link Graph Analysis for Adult Images Classification
In order to protect an image search engine's users from undesirable results adult images' classifier should be built. The information about links from websites to images...
Evgeny Kharitonov, Anton Slesarev, Ilya Muchnik, F...
AAAI
2008
13 years 11 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
BMCBI
2006
123views more  BMCBI 2006»
13 years 9 months ago
Characterizing disease states from topological properties of transcriptional regulatory networks
Background: High throughput gene expression experiments yield large amounts of data that can augment our understanding of disease processes, in addition to classifying samples. He...
David Tuck, Harriet Kluger, Yuval Kluger
UMUAI
2008
192views more  UMUAI 2008»
13 years 8 months ago
Automatic detection of learner's affect from conversational cues
We explored the reliability of detecting a learner's affect from conversational features extracted from interactions with AutoTutor, an intelligent tutoring system that helps...
Sidney K. D'Mello, Scotty D. Craig, Amy M. Withers...