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KES
2004
Springer
16 years 10 hour ago
Extracting Stellar Population Parameters of Galaxies from Photometric Data Using Evolution Strategies and Locally Weighted Linea
There is now a huge amount of high quality photometric data available in the literature whose analysis is bound to play a fundamental role in studies of the formation and evolution...
Luis Alvarez, Olac Fuentes, Roberto Terlevich
208
Voted
ICIC
2009
Springer
15 years 11 months ago
Dimension Reduction Using Semi-Supervised Locally Linear Embedding for Plant Leaf Classification
Plant has plenty use in foodstuff, medicine and industry, and is also vitally important for environmental protection. So, it is important and urgent to recognize and classify plant...
Shanwen Zhang, Kwok-Wing Chau
DAC
1997
ACM
15 years 10 months ago
Remembrance of Things Past: Locality and Memory in BDDs
Binary Decision Diagrams BDDs are e cient at manipulating large sets in a compact manner. BDDs, however, are inefcient at utilizing the memory hierarchy of the computer. Recent ...
Srilatha Manne, Dirk Grunwald, Fabio Somenzi
DCOSS
2006
Springer
15 years 10 months ago
Evaluating Local Contributions to Global Performance in Wireless Sensor and Actuator Networks
Wireless sensor networks are often studied with the goal of removing information from the network as efficiently as possible. However, when the application also includes an actuato...
Christopher J. Rozell, Don H. Johnson
NIPS
2003
15 years 8 months ago
Non-linear CCA and PCA by Alignment of Local Models
We propose a non-linear Canonical Correlation Analysis (CCA) method which works by coordinating or aligning mixtures of linear models. In the same way that CCA extends the idea of...
Jakob J. Verbeek, Sam T. Roweis, Nikos A. Vlassis