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ECCV
2010
Springer
14 years 10 months ago
MIForests: Multiple-Instance Learning with Randomized Trees
Abstract. Multiple-instance learning (MIL) allows for training classifiers from ambiguously labeled data. In computer vision, this learning paradigm has been recently used in many ...
Christian Leistner, Amir Saffari, Horst Bischof
MOC
2010
14 years 4 months ago
The number field sieve for integers of low weight
We define the weight of an integer N to be the smallest w such that N can be represented as w i=1 i2ci , with 1,..., w{1,-1}. Since arithmetic modulo a prime of low weight is parti...
Oliver Schirokauer
KDD
2007
ACM
191views Data Mining» more  KDD 2007»
15 years 10 months ago
Cost-effective outbreak detection in networks
Given a water distribution network, where should we place sensors to quickly detect contaminants? Or, which blogs should we read to avoid missing important stories? These seemingl...
Andreas Krause, Carlos Guestrin, Christos Faloutso...
ICRA
2009
IEEE
150views Robotics» more  ICRA 2009»
15 years 4 months ago
Flow separation for fast and robust stereo odometry
— Separating sparse flow provides fast and robust stereo visual odometry that deals with nearly degenerate situations that often arise in practical applications. We make use of ...
Michael Kaess, Kai Ni, Frank Dellaert
ASPDAC
2009
ACM
100views Hardware» more  ASPDAC 2009»
15 years 4 months ago
Noise minimization during power-up stage for a multi-domain power network
– With the popularity of Multiple Power Domain (MPD) design, the multi-domain power network noise analysis and minimization is becoming important. This paper describes an efficie...
Wanping Zhang, Yi Zhu, Wenjian Yu, Amirali Shayan ...