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ICASSP
2008
IEEE
16 years 1 months ago
Finding needles in noisy haystacks
The theory of compressed sensing shows that samples in the form of random projections are optimal for recovering sparse signals in high-dimensional spaces (i.e., finding needles ...
Rui M. Castro, Jarvis Haupt, Robert Nowak, Gil M. ...
ICDM
2008
IEEE
120views Data Mining» more  ICDM 2008»
16 years 1 months ago
Predicting Future Decision Trees from Evolving Data
Recognizing and analyzing change is an important human virtue because it enables us to anticipate future scenarios and thus allows us to act pro-actively. One approach to understa...
Mirko Böttcher, Martin Spott, Rudolf Kruse
ICDM
2008
IEEE
127views Data Mining» more  ICDM 2008»
16 years 1 months ago
The Impact of Structural Changes on Predictions of Diffusion in Networks
In a typical realistic scenario, there exist some past data about the structure of the network which are analyzed with respect to some possibly future spreading process, such as b...
Mayank Lahiri, Arun S. Maiya, Rajmonda Sulo, Habib...
ICPR
2008
IEEE
16 years 1 months ago
Improvement of feature matching in catadioptric images using gyroscope data
Most of vision-based algorithms for motion and localization estimation requires matching some interest points in a pair of images. After building feature correspondence, it is pos...
Jean Charles Bazin, Inso Kweon, Cédric Demo...
ICRA
2008
IEEE
136views Robotics» more  ICRA 2008»
16 years 1 months ago
Generalizing the dubins and reeds-shepp cars: Fastest paths for bounded-velocity mobile robots
— What is the shortest or fastest path a mobile robot can follow between two configurations in the unobstructed plane? The answer to this fundamental question is only known anal...
Andrei A. Furtuna, Devin J. Balkcom, Hamid Reza Ch...