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146
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CORR
2011
Springer
193views Education» more  CORR 2011»
14 years 7 months ago
The Rate of Convergence of AdaBoost
The AdaBoost algorithm was designed to combine many “weak” hypotheses that perform slightly better than random guessing into a “strong” hypothesis that has very low error....
Indraneel Mukherjee, Cynthia Rudin, Robert E. Scha...
119
Voted
CVPR
2007
IEEE
16 years 5 months ago
An Efficient Minimal Solution for Infinitesimal Camera Motion
Given five motion vectors observed in a calibrated camera, what is the rotational and translational velocity of the camera? This problem is the infinitesimal motion analogue to th...
Chris Engels, David Nistér, Henrik Stew&eac...
109
Voted
ICASSP
2011
IEEE
14 years 7 months ago
Extended array method for detection and direction finding of a weak linear frequency modulated signal
A well known computationally efficient method for parameters estimation of linear frequency modulated (LFM) signals is to mix the received signals with a shifted version of itsel...
Songsri Sirianunpiboon
ICML
2005
IEEE
16 years 4 months ago
Dynamic preferences in multi-criteria reinforcement learning
The current framework of reinforcement learning is based on maximizing the expected returns based on scalar rewards. But in many real world situations, tradeoffs must be made amon...
Sriraam Natarajan, Prasad Tadepalli
179
Voted
ICIAP
2007
ACM
16 years 3 months ago
SIFT Features Tracking for Video Stabilization
This paper presents a video stabilization algorithm based on the extraction and tracking of Scale Invariant Feature Transform features through video frames. Implementation of SIFT...
Sebastiano Battiato, Giovanni Gallo, Giovanni Pugl...