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CVPR
2012
IEEE
13 years 7 months ago
Unsupervised metric fusion by cross diffusion
Metric learning is a fundamental problem in computer vision. Different features and algorithms may tackle a problem from different angles, and thus often provide complementary inf...
Bo Wang, Jiayan Jiang, Wei Wang 0028, Zhi-Hua Zhou...
ICIAP
2003
ACM
16 years 4 months ago
Old fashioned state-of-the-art image classification
In this paper we present a statistical learning scheme for image classification based on a mixture of old fashioned ideas and state of the art learning tools. We represent input i...
Annalisa Barla, Francesca Odone, Alessandro Verri
LOCA
2007
Springer
15 years 10 months ago
Inferring the Everyday Task Capabilities of Locations
Abstract. People rapidly learn the capabilities of a new location, without observing every service and product. Instead they map a few observations to familiar clusters of capabili...
Patricia Shanahan, William G. Griswold
COMPLIFE
2006
Springer
15 years 8 months ago
Relational Subgroup Discovery for Descriptive Analysis of Microarray Data
Abstract. This paper presents a method that uses gene ontologies, together with the paradigm of relational subgroup discovery, to help find description of groups of genes different...
Igor Trajkovski, Filip Zelezný, Jakub Tolar...
FTDB
2008
82views more  FTDB 2008»
15 years 4 months ago
Information Extraction
The automatic extraction of information from unstructured sources has opened up new avenues for querying, organizing, and analyzing data by drawing upon the clean semantics of str...
Sunita Sarawagi