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ICPR
2006
IEEE
14 years 10 months ago
Latent Layout Analysis for Discovering Objects in Images
Latent Layout Analysis (LLA) is a novel unsupervised learning technique to discover objects in unseen images using a set of un-annotated training images. LLA defines a generative ...
David Liu, Datong Chen, Tsuhan Chen
ICPR
2010
IEEE
13 years 6 months ago
Scene Classification Using Spatial Pyramid of Latent Topics
We propose a scene classification method, which combines two popular methods in the literature: Spatial Pyramid Matching (SPM) and probabilistic Latent Semantic Analysis (pLSA) mod...
Emrah Ergul, Nafiz Arica
AAAI
2012
11 years 11 months ago
A Testbed for Learning by Demonstration from Natural Language and RGB-Depth Video
We are developing a testbed for learning by demonstration combining spoken language and sensor data in a natural real-world environment. Microsoft Kinect RGBDepth cameras allow us...
Young Chol Song, Henry A. Kautz
IJSWIS
2007
171views more  IJSWIS 2007»
13 years 8 months ago
Experience in Aligning Anatomical Ontologies
An ontology is a formal representation of a domain modeling the entities in the domain and their relations. When a domain is represented by multiple ontologies, there is need for ...
Songmao Zhang, Olivier Bodenreider
WWW
2005
ACM
14 years 9 months ago
Making RDF presentable: integrated global and local semantic Web browsing
This paper discusses generating document structure from annotated media repositories in a domain-independent manner. This approaches the vision of a universal RDF browser. We star...
Lloyd Rutledge, Jacco van Ossenbruggen, Lynda Hard...