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» Learning Classifiers from Semantically Heterogeneous Data
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ICML
2009
IEEE
14 years 9 months ago
Learning kernels from indefinite similarities
Similarity measures in many real applications generate indefinite similarity matrices. In this paper, we consider the problem of classification based on such indefinite similariti...
Yihua Chen, Maya R. Gupta, Benjamin Recht
HICSS
2005
IEEE
117views Biometrics» more  HICSS 2005»
14 years 2 months ago
Movie Review Mining: a Comparison between Supervised and Unsupervised Classification Approaches
Web content mining is intended to help people discover valuable information from large amount of unstructured data on the web. Movie review mining classifies movie reviews into tw...
Pimwadee Chaovalit, Lina Zhou
ICDE
2006
IEEE
124views Database» more  ICDE 2006»
14 years 10 months ago
Segmentation of Publication Records of Authors from the Web
Publication records are often found in the authors' personal home pages. If such a record is partitioned into a list of semantic fields of authors, title, date, etc., the uns...
Wei Zhang, Clement T. Yu, Neil R. Smalheiser, Vetl...
AAAI
2010
13 years 10 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...
INTERSPEECH
2010
13 years 3 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