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» Automatic Discovery of Semantic Relations using MindNet
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CVPR
2010
IEEE
14 years 3 months ago
Automatic Discovery of Meaningful Object Parts with Latent CRFs
Object recognition is challenging due to high intra-class variability caused, e.g., by articulation, viewpoint changes, and partial occlusion. Successful methods need to strike a...
Paul Schnitzspan, Stefan Roth, Bernt Schiele
CVPR
2011
IEEE
13 years 4 months ago
Unsupervised Auxiliary Visual Words Discovery for Large-Scale Image Object Retrieval
Image object retrieval – locating image occurrences of specific objects in large-scale image collections – is essential for manipulating the sheer amount of photos. Current s...
Yin-Hsi Kuo, Hsuan-Tien Lin, Wen-Huang Cheng, Yi-H...
SAC
2003
ACM
14 years 24 days ago
Recognizing the Relations between Web Pages Using Artificial Neural Network
Semantic Web shows us the potential infrastructure of the next generation Web. Web information will be understandable to machines in this infrastructure. Our research work1 has th...
Xing Zhu, Shen Huang, Yong Yu
JNW
2008
171views more  JNW 2008»
13 years 7 months ago
The Necessity of Semantic Technologies in Grid Discovery
Service discovery and its automation are some of the key features that a large scale, open distributed system must provide so that clients and users may take advantage of shared re...
Serena Pastore
NLE
2011
12 years 10 months ago
Modeling reciprocity in social interactions with probabilistic latent space models
Reciprocity is a pervasive concept that plays an important role in governing people’s behavior, judgments, and thus their social interactions. In this paper we present an analys...
Roxana Girju, Michael J. Paul