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» Bayesian Filtering With Random Finite Set Observations
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ICRA
2008
IEEE
208views Robotics» more  ICRA 2008»
15 years 8 months ago
Unsupervised body scheme learning through self-perception
— In this paper, we present an approach allowing a robot to learn a generative model of its own physical body from scratch using self-perception with a single monocular camera. O...
Jürgen Sturm, Christian Plagemann, Wolfram Bu...
115
Voted
TIT
2008
90views more  TIT 2008»
15 years 2 months ago
Scanning and Sequential Decision Making for Multidimensional Data - Part II: The Noisy Case
We consider the problem of sequential decision making for random fields corrupted by noise. In this scenario, the decision maker observes a noisy version of the data, yet judged wi...
Asaf Cohen, Tsachy Weissman, Neri Merhav
115
Voted
NIPS
2004
15 years 3 months ago
Result Analysis of the NIPS 2003 Feature Selection Challenge
The NIPS 2003 workshops included a feature selection competition organized by the authors. We provided participants with five datasets from different application domains and calle...
Isabelle Guyon, Steve R. Gunn, Asa Ben-Hur, Gideon...
ATVA
2006
Springer
112views Hardware» more  ATVA 2006»
15 years 6 months ago
Synthesis for Probabilistic Environments
In synthesis we construct finite state systems from temporal specifications. While this problem is well understood in the classical setting of non-probabilistic synthesis, this pap...
Sven Schewe
127
Voted
SPRINGSIM
2010
15 years 24 days ago
Using factored bond graphs for distributed diagnosis of physical systems
This paper presents a distributed Bayesian fault diagnosis scheme for physical systems. Our diagnoser design is based on a procedure for factoring the global system bond graph (BG...
Indranil Roychoudhury, Gautam Biswas, Xenofon D. K...