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» Testing of Image Processing Algorithms on Synthetic Data
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ECML
2007
Springer
15 years 10 months ago
Avoiding Boosting Overfitting by Removing Confusing Samples
Boosting methods are known to exhibit noticeable overfitting on some datasets, while being immune to overfitting on other ones. In this paper we show that standard boosting algorit...
Alexander Vezhnevets, Olga Barinova
TCAD
2008
103views more  TCAD 2008»
15 years 4 months ago
Topology-Based Performance Analysis and Optimization of Latency-Insensitive Systems
Latency-insensitive protocols allow system-on-chip (SoC) engineers to decouple the design of the computing cores from the design of the intercore communication channels while follo...
Rebecca L. Collins, Luca P. Carloni
ICDE
2006
IEEE
124views Database» more  ICDE 2006»
15 years 10 months ago
Systematic Approach for Optimizing Complex Mining Tasks on Multiple Databases
It has been well recognized that data mining is an interactive and iterative process. In order to support this process, one of the long-term goals of data mining research has been...
Ruoming Jin, Gagan Agrawal
MVA
2010
130views Computer Vision» more  MVA 2010»
15 years 2 months ago
Neighborhood linear embedding for intrinsic structure discovery
In this paper, an unsupervised learning algorithm, neighborhood linear embedding (NLE), is proposed to discover the intrinsic structures such as neighborhood relationships, global ...
Shuzhi Sam Ge, Feng Guan, Yaozhang Pan, Ai Poh Loh
ICIP
2008
IEEE
16 years 6 months ago
A master-slave approach for object detection and matching with fixed and mobile cameras
Typical object detection algorithms on mobile cameras suffer from the lack of a-priori knowledge on the object to be detected. The variability in the shape, pose, color distributi...
Alexandre Alahi, David Marimon, Michel Bierlaire, ...