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CVPR
2011
IEEE
15 years 3 months 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
AOSD
2011
ACM
15 years 1 months ago
EventCJ: a context-oriented programming language with declarative event-based context transition
This paper proposes EventCJ, a context-oriented programming (COP) language that can modularly control layer activation based on user-defined events. In addition to defining cont...
Tetsuo Kamina, Tomoyuki Aotani, Hidehiko Masuhara
WWW
2011
ACM
15 years 1 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...
CORR
2011
Springer
165views Education» more  CORR 2011»
14 years 10 months ago
Finding Deceptive Opinion Spam by Any Stretch of the Imagination
Consumers increasingly go online to rate, review and research products (Jansen, 2010; Litvin et al., 2008). Consequently, websites containing these reviews are becoming targets of...
Myle Ott, Yejin Choi, Claire Cardie, Jeffrey T. Ha...
CVPR
2011
IEEE
14 years 10 months ago
Effective 3D Object Detection and Regression Using Probabilistic Segmentation Features in CT Images
3D object detection and importance regression/ranking are at the core for semantically interpreting 3D medical images of computer aided diagnosis (CAD). In this paper, we propose ...
Le Lu, Jinbo Bi, Matthias Wolf, Marcos Salganicoff