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» Learning Classifiers from Semantically Heterogeneous Data
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CLOUDCOM
2010
Springer
13 years 4 months ago
Power of Clouds in Your Pocket: An Efficient Approach for Cloud Mobile Hybrid Application Development
The advancements in computing have resulted in a boom of cheap, ubiquitous, connected mobile devices as well as seemingly unlimited, utility style, pay as you go computing resourc...
Ashwin Manjunatha, Ajith Ranabahu, Amit P. Sheth, ...
DIS
2005
Springer
14 years 1 months ago
Support Vector Inductive Logic Programming
Abstract. In this paper we explore a topic which is at the intersection of two areas of Machine Learning: namely Support Vector Machines (SVMs) and Inductive Logic Programming (ILP...
Stephen Muggleton, Huma Lodhi, Ata Amini, Michael ...
KCAP
2011
ACM
12 years 10 months ago
Multipedia: enriching DBpedia with multimedia information
Enriching knowledge bases with multimedia information makes it possible to complement textual descriptions with visual and audio information. Such complementary information can he...
Andrés García-Silva, Max Jakob, Pabl...
SIGIR
2005
ACM
14 years 1 months ago
Orthogonal locality preserving indexing
We consider the problem of document indexing and representation. Recently, Locality Preserving Indexing (LPI) was proposed for learning a compact document subspace. Different from...
Deng Cai, Xiaofei He
CVPR
2007
IEEE
14 years 9 months ago
Parameter Sensitive Detectors
Object detection can be challenging when the object class exhibits large variations. One commonly-used strategy is to first partition the space of possible object variations and t...
Quan Yuan, Ashwin Thangali, Vitaly Ablavsky, Stan ...