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ICTAI
2007
IEEE
14 years 1 months ago
CompoNet: Programmatically Embedding Neural Networks into AI Applications as Software Components
The provision of embedding neural networks into software applications can enable variety of Artificial Intelligence systems for individual users as well as organizations. Previous...
Uzair Ahmad, Andrey Gavrilov, Sungyoung Lee, Young...
KDD
2004
ACM
117views Data Mining» more  KDD 2004»
14 years 8 months ago
Regularized multi--task learning
Past empirical work has shown that learning multiple related tasks from data simultaneously can be advantageous in terms of predictive performance relative to learning these tasks...
Theodoros Evgeniou, Massimiliano Pontil
CIKM
2009
Springer
14 years 2 months ago
Incremental query evaluation for support vector machines
Support vector machines (SVMs) have been widely used in multimedia retrieval to learn a concept in order to find the best matches. In such a SVM active learning environment, the ...
Danzhou Liu, Kien A. Hua
CVPR
2009
IEEE
15 years 2 months ago
Learning Semantic Visual Vocabularies Using Diffusion Distance
In this paper, we propose a novel approach for learning generic visual vocabulary. We use diffusion maps to au-tomatically learn a semantic visual vocabulary from ab-undant quantiz...
Jingen Liu (University of Central Florida), Yang Y...
DGO
2006
129views Education» more  DGO 2006»
13 years 9 months ago
Automatic alignment of vector data and orthoimagery for the national map
A general problem in combining road vector data with orthoimagery from different sources is that they rarely align. There are a variety of causes to this problem, but the most com...
Craig A. Knoblock, Cyrus Shahabi, Ching-Chien Chen...