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» Learning Functions from Imperfect Positive Data
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SODA
2008
ACM
101views Algorithms» more  SODA 2008»
13 years 10 months ago
Adaptive local ratio
Local ratio is a well-known paradigm for designing approximation algorithms for combinatorial optimization problems. At a very high level, a local-ratio algorithm first decomposes ...
Julián Mestre
IJON
2007
86views more  IJON 2007»
13 years 8 months ago
Validation of task-related excess of spike coincidences based on NeuroXidence
One of the key findings supporting the assembly hypothesis was found in recordings from the primary motor cortex of behaving monkeys involved in a delayed pointing task [A. Riehl...
Gordon Pipa, Alexa Riehle, Sonja Grün
BICA
2010
13 years 3 months ago
Explanatory Aspirations and the Scandal of Cognitive Neuroscience
In this position paper we argue that BICA must simultaneously be compatible with the explanation of human cognition and support the human design of artificial cognitive systems. Mo...
Ross Gayler, Simon D. Levy, Rens Bod
ICCV
2007
IEEE
14 years 10 months ago
Applications of parametric maxflow in computer vision
The maximum flow algorithm for minimizing energy functions of binary variables has become a standard tool in computer vision. In many cases, unary costs of the energy depend linea...
Vladimir Kolmogorov, Yuri Boykov, Carsten Rother
ICRA
2005
IEEE
102views Robotics» more  ICRA 2005»
14 years 2 months ago
Hand Force Estimation using Electromyography Signals
— In many studies and applications that include direct human involvement such as human-robot interaction, control of prosthetic arms, and human factor studies, hand force is need...
Farid Mobasser, Keyvan Hashtrudi-Zaad