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ECCV
2010
Springer
13 years 7 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
DAGM
2007
Springer
14 years 1 months ago
Semi-supervised Tumor Detection in Magnetic Resonance Spectroscopic Images Using Discriminative Random Fields
Magnetic resonance spectral images provide information on metabolic processes and can thus be used for in vivo tumor diagnosis. However, each single spectrum has to be checked manu...
L. Görlitz, Bjoern H. Menze, M.-A. Weber, B. ...
ICRA
2005
IEEE
118views Robotics» more  ICRA 2005»
14 years 1 months ago
Planning with Continuous Actions in Partially Observable Environments
Abstract— We present a simple randomized POMDP algorithm for planning with continuous actions in partially observable environments. Our algorithm operates on a set of reachable b...
Matthijs T. J. Spaan, Nikos A. Vlassis
PAMI
2008
198views more  PAMI 2008»
13 years 7 months ago
A Comparative Study of Energy Minimization Methods for Markov Random Fields with Smoothness-Based Priors
Among the most exciting advances in early vision has been the development of efficient energy minimization algorithms for pixel-labeling tasks such as depth or texture computation....
Richard Szeliski, Ramin Zabih, Daniel Scharstein, ...
KES
2005
Springer
14 years 1 months ago
Watermarking Protocol Compatible with Secret Algorithms for Resisting Invertibility Attack
Abstract. Invertibility attack is a hostile measure to breach watermarking systems. In this paper, a novel watermarking protocol using a one-way hash function and a check of random...
Xinpeng Zhang, Shuozhong Wang