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» Smart objects: Challenges for Semantic Web research
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CVPR
2011
IEEE
15 years 17 days ago
Large-Scale Live Active Learning: Training Object Detectors with Crawled Data and Crowds
Active learning and crowdsourcing are promising ways to efficiently build up training sets for object recognition, but thus far techniques are tested in artificially controlled ...
Sudheendra Vijayanarasimhan, Kristen Grauman
IPPS
2002
IEEE
15 years 9 months ago
FARM: A Feedback-Based Adaptive Resource Management for Autonomous Hot-Spot Convergence System
Abstract— In this paper, we present a novel and comprehensive resource management solution for the autonomous hot-spot convergence system (AHSCS) that uses sensor web. This solut...
S. Swaminathan, G. Manimaran
ICWSM
2009
15 years 2 months ago
A Categorical Model for Discovering Latent Structure in Social Annotations
The advent of social tagging systems has enabled a new community-based view of the Web in which objects like images, videos, and Web pages are annotated by thousands of users. Und...
Said Kashoob, James Caverlee, Ying Ding
WWW
2007
ACM
16 years 5 months ago
Discovering the best web service
Major research challenges in discovering Web services include, provisioning of services across multiple or heterogeneous registries, differentiating between services that share si...
Eyhab Al-Masri, Qusay H. Mahmoud
CVPR
2007
IEEE
16 years 6 months ago
OPTIMOL: automatic Online Picture collecTion via Incremental MOdel Learning
A well-built dataset is a necessary starting point for advanced computer vision research. It plays a crucial role in evaluation and provides a continuous challenge to stateof-the-...
Li-Jia Li, Gang Wang, Fei-Fei Li 0002