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» Learning Object Representations Using Sequential Patterns
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CRIWG
2007
13 years 11 months ago
Deployment of Ontologies for an Effective Design of Collaborative Learning Scenarios
Two of the most important research subjects during the development of intelligent authoring systems (IAS) for education are the modeling of knowledge and the extraction of knowledg...
Seiji Isotani, Riichiro Mizoguchi
SIGMOD
2011
ACM
269views Database» more  SIGMOD 2011»
13 years 25 days ago
Advancing data clustering via projective clustering ensembles
Projective Clustering Ensembles (PCE) are a very recent advance in data clustering research which combines the two powerful tools of clustering ensembles and projective clustering...
Francesco Gullo, Carlotta Domeniconi, Andrea Tagar...
CVPR
2012
IEEE
12 years 14 days ago
Learning rotation-aware features: From invariant priors to equivariant descriptors
Identifying suitable image features is a central challenge in computer vision, ranging from representations for lowlevel to high-level vision. Due to the difficulty of this task,...
Uwe Schmidt, Stefan Roth
CVPR
2012
IEEE
12 years 14 days ago
Unsupervised feature learning framework for no-reference image quality assessment
In this paper, we present an efficient general-purpose objective no-reference (NR) image quality assessment (IQA) framework based on unsupervised feature learning. The goal is to...
Peng Ye, Jayant Kumar, Le Kang, David S. Doermann
HICSS
2002
IEEE
94views Biometrics» more  HICSS 2002»
14 years 3 months ago
The Relationship between Scene and Eye Movements
Individual differences make it difficult to recognize similarities between individuals in eye movement patterns. However, if consistencies can be found, eye movements could be use...
Laurel King