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NN
2008
Springer
152views Neural Networks» more  NN 2008»
15 years 7 months ago
Analysis of the IJCNN 2007 agnostic learning vs. prior knowledge challenge
We organized a challenge for IJCNN 2007 to assess the added value of prior domain knowledge in machine learning. Most commercial data mining programs accept data pre-formatted in ...
Isabelle Guyon, Amir Saffari, Gideon Dror, Gavin C...
CVPR
2012
IEEE
13 years 10 months ago
Batch mode Adaptive Multiple Instance Learning for computer vision tasks
Multiple Instance Learning (MIL) has been widely exploited in many computer vision tasks, such as image retrieval, object tracking and so on. To handle ambiguity of instance label...
Wen Li, Lixin Duan, Ivor Wai-Hung Tsang, Dong Xu
DGO
2003
133views Education» more  DGO 2003»
15 years 8 months ago
Accessing Diverse Geo-Referenced Data Sources with the SAND Spatial DBMS
The Internet has become the most frequently accessed medium for obtaining various types of data. In particular, government agencies, academic institutions, and private enterprises...
Jagan Sankaranarayanan, Egemen Tanin, Hanan Samet,...
POPL
2012
ACM
14 years 3 months ago
Towards a program logic for JavaScript
JavaScript has become the most widely used language for clientside web programming. The dynamic nature of JavaScript makes understanding its code notoriously difficult, leading t...
Philippa Gardner, Sergio Maffeis, Gareth David Smi...
ECCV
2008
Springer
16 years 9 months ago
Learning Visual Shape Lexicon for Document Image Content Recognition
Developing effective content recognition methods for diverse imagery continues to challenge computer vision researchers. We present a new approach for document image content catego...
Guangyu Zhu, Xiaodong Yu, Yi Li, David S. Doermann