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PRL
2010
149views more  PRL 2010»
14 years 6 months ago
Adaptive linear models for regression: Improving prediction when population has changed
The general setting of regression analysis is to identify a relationship between a response variable Y and one or several explanatory variables X by using a learning sample. In a ...
Charles Bouveyron, Julien Jacques
RTSS
2000
IEEE
15 years 3 months ago
Efficient Scheduling of Sporadic, Aperiodic, and Periodic Tasks with Complex Constraints
Many industrial applications with real-time demands are composed of mixed sets of tasks with a variety of requirements. These can be in the form of standard timing constraints, su...
Damir Isovic, Gerhard Fohler
CVPR
2007
IEEE
15 years 10 months ago
Partially Occluded Object-Specific Segmentation in View-Based Recognition
We present a novel object-specific segmentation method which can be used in view-based object recognition systems. Previous object segmentation approaches generate inexact results ...
Minsu Cho (Seoul National University), Kyoung Mu L...
STOC
1993
ACM
87views Algorithms» more  STOC 1993»
15 years 3 months ago
How to use expert advice
We analyze algorithms that predict a binary value by combining the predictions of several prediction strategies, called experts. Our analysis is for worst-case situations, i.e., we...
Nicolò Cesa-Bianchi, Yoav Freund, David P. ...
APBC
2004
108views Bioinformatics» more  APBC 2004»
15 years 1 months ago
Ladderlike Stepping and Interval Jumping Searching Algorithms for DNA Sequences
In this study we have designed a novel algorithm for searching common segments in multiple DNA sequences. To improve efficiency in pattern searching, combination of hashing encodi...
Tun-Wen Pai, Margaret Dah-Tsyr Chang, Jia-Han Chu,...