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CVPR
2009
IEEE
16 years 5 months ago
What's It Going to Cost You?: Predicting Effort vs. Informativeness for Multi-Label Image Annotations
Active learning strategies can be useful when manual labeling effort is scarce, as they select the most informative examples to be annotated first. However, for visual category ...
Sudheendra Vijayanarasimhan (University of Texas a...
114
Voted
WWW
2011
ACM
14 years 4 months ago
Web information extraction using Markov logic networks
In this paper, we consider the problem of extracting structured data from web pages taking into account both the content of individual attributes as well as the structure of pages...
Sandeepkumar Satpal, Sahely Bhadra, Sundararajan S...
SENSYS
2003
ACM
15 years 3 months ago
On the scaling laws of dense wireless sensor networks
We consider dense wireless sensor networks deployed to observe arbitrary random fields. The requirement is to reconstruct an estimate of the random field at a certain collector ...
Praveen Kumar Gopala, Hesham El Gamal
WEBDB
2000
Springer
110views Database» more  WEBDB 2000»
15 years 1 months ago
Modeling Data Entry and Operations in WebML
Web Modeling Language (WebML, http://webml.org) is a notation for visually specifying complex Web sites at the conceptual level. All the concepts of WebML are specified both graph...
Aldo Bongio, Stefano Ceri, Piero Fraternali, Andre...
GECCO
2003
Springer
182views Optimization» more  GECCO 2003»
15 years 3 months ago
Modeling the Search Landscape of Metaheuristic Software Clustering Algorithms
Abstract. Software clustering techniques are useful for extracting architectural information about a system directly from its source code structure. This paper starts by examining ...
Brian S. Mitchell, Spiros Mancoridis