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CVPR
2007
IEEE
14 years 4 months ago
Hierarchical Structuring of Data on Manifolds
Manifold learning methods are promising data analysis tools. However, if we locate a new test sample on the manifold, we have to find its embedding by making use of the learned e...
Jun Li, Pengwei Hao
BMCBI
2006
154views more  BMCBI 2006»
13 years 10 months ago
Analysis with respect to instrumental variables for the exploration of microarray data structures
Background: Evaluating the importance of the different sources of variations is essential in microarray data experiments. Complex experimental designs generally include various fa...
Florent Baty, Michaël Facompré, Jan Wi...
ADVIS
2006
Springer
14 years 4 months ago
Structural and Event Based Multimodal Video Data Modeling
Investments on multimedia technology enable us to store many more reflections of the real world in digital world as videos. By recording videos about real world entities, we carry...
Hakan Öztarak, Adnan Yazici
BMCBI
2006
202views more  BMCBI 2006»
13 years 10 months ago
Spectral embedding finds meaningful (relevant) structure in image and microarray data
Background: Accurate methods for extraction of meaningful patterns in high dimensional data have become increasingly important with the recent generation of data types containing ...
Brandon W. Higgs, Jennifer W. Weller, Jeffrey L. S...
FAST
2011
13 years 1 months ago
Consistent and Durable Data Structures for Non-Volatile Byte-Addressable Memory
The predicted shift to non-volatile, byte-addressable memory (e.g., Phase Change Memory and Memristor), the growth of “big data”, and the subsequent emergence of frameworks su...
Shivaram Venkataraman, Niraj Tolia, Parthasarathy ...