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KDD
2009
ACM
142views Data Mining» more  KDD 2009»
16 years 2 months ago
Quantification and semi-supervised classification methods for handling changes in class distribution
In realistic settings the prevalence of a class may change after a classifier is induced and this will degrade the performance of the classifier. Further complicating this scenari...
Jack Chongjie Xue, Gary M. Weiss
SIGIR
2000
ACM
15 years 6 months ago
Hierarchical classification of Web content
This paper explores the use of hierarchical structure for classifying a large, heterogeneous collection of web content. The hierarchical structure is initially used to train diffe...
Susan T. Dumais, Hao Chen
DEXAW
1999
IEEE
152views Database» more  DEXAW 1999»
15 years 6 months ago
Advanced Metrics for Class-Driven Similarity Search
This paper presents two metrics for the Nearest Neighbor Classifier that share the property of being adapted, i.e. learned, on a set of data. Both metrics can be used for similari...
Paolo Avesani, Enrico Blanzieri, Francesco Ricci
157
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AAAI
2010
15 years 3 months ago
A Layered Approach to People Detection in 3D Range Data
People tracking is a key technology for autonomous systems, intelligent cars and social robots operating in populated environments. What makes the task difficult is that the appea...
Luciano Spinello, Kai Oliver Arras, Rudolph Triebe...
103
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INTERSPEECH
2010
14 years 9 months ago
A classifier-based target cost for unit selection speech synthesis trained on perceptual data
Our goal is to automatically learn a perceptually-optimal target cost function for a unit selection speech synthesiser. The approach we take here is to train a classifier on human...
Volker Strom, Simon King