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PRL
2010
149views more  PRL 2010»
13 years 2 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
13 years 11 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
14 years 5 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»
13 years 11 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»
13 years 8 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,...