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KDD
2008
ACM
159views Data Mining» more  KDD 2008»
16 years 6 months ago
Semi-supervised learning with data calibration for long-term time series forecasting
Many time series prediction methods have focused on single step or short term prediction problems due to the inherent difficulty in controlling the propagation of errors from one ...
Haibin Cheng, Pang-Ning Tan
CAD
2005
Springer
15 years 6 months ago
Computer-aided design of porous artifacts
Heterogeneous structures represent an important new frontier for 21st century engineering. Human tissues, composites, `smart' and multimaterial objects are all physically man...
Craig A. Schroeder, William C. Regli, Ali Shokoufa...
BMCBI
2008
145views more  BMCBI 2008»
15 years 6 months ago
Directed acyclic graph kernels for structural RNA analysis
Background: Recent discoveries of a large variety of important roles for non-coding RNAs (ncRNAs) have been reported by numerous researchers. In order to analyze ncRNAs by kernel ...
Kengo Sato, Toutai Mituyama, Kiyoshi Asai, Yasubum...
IJCV
2002
185views more  IJCV 2002»
15 years 6 months ago
Vision and the Atmosphere
Current vision systems are designed to perform in clear weather. Needless to say, in any outdoor application, there is no escape from "bad" weather. Ultimately, computer ...
Srinivasa G. Narasimhan, Shree K. Nayar
IBMRD
2011
112views more  IBMRD 2011»
15 years 1 months ago
Sensor Andrew: Large-scale campus-wide sensing and actuation
—We present Sensor Andrew, a multi-disciplinary campus-wide scalable sensor network that is designed to host a wide range of sensor, actuator and low-power applications. The goal...
Anthony Rowe, Mario Berges, Gaurav Bhatia, Ethan G...