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AAAI
2008
15 years 9 months ago
Manifold Integration with Markov Random Walks
Most manifold learning methods consider only one similarity matrix to induce a low-dimensional manifold embedded in data space. In practice, however, we often use multiple sensors...
Heeyoul Choi, Seungjin Choi, Yoonsuck Choe
WSC
2007
15 years 9 months ago
A simulation model to improve warehouse operations
Warehouse or distribution centre managers have to decide how to collect the products to fulfill customers requests but also where to locate the products (SKUs) and how much space ...
Jean Philippe Gagliardi, Jacques Renaud, Angel Rui...
ECCV
2010
Springer
15 years 8 months ago
Descriptor Learning for Efficient Retrieval
Many visual search and matching systems represent images using sparse sets of "visual words": descriptors that have been quantized by assignment to the best-matching symb...
GRAPHICSINTERFACE
2008
15 years 8 months ago
Lightweight task/application performance using single versus multiple monitors: a comparative study
It is becoming increasingly common to see computers with two or even three monitors being used today. People seem to like having more display space available, and intuition tells ...
Youn ah Kang, John T. Stasko
ICMLA
2008
15 years 8 months ago
Ensemble Machine Methods for DNA Binding
We introduce three ensemble machine learning methods for analysis of biological DNA binding by transcription factors (TFs). The goal is to identify both TF target genes and their ...
Yue Fan, Mark A. Kon, Charles DeLisi