High Power Laser's (HPL) optimal performance is essential for the succes...
Fine-tuning and Domain Adaptation emerged as effective strategies for
ef...
Optimization and planning methods for tasks involving 3D objects often r...
Balancing and push-recovery are essential capabilities enabling humanoid...
With the recent advances in machine learning, problems that traditionall...
Several object detection methods have recently been proposed in the
lite...
As the size and richness of available datasets grow larger, the opportun...
This paper discusses online algorithms for inverse dynamics modelling in...
In this paper, we study the problem of deriving fast and accurate
classi...
We study the generalization properties of stochastic gradient methods fo...
We consider object recognition in the context of lifelong learning, wher...
This paper presents a semi-parametric algorithm for online learning of a...
This paper presents a novel approach for incremental semiparametric inve...
Early stopping is a well known approach to reduce the time complexity fo...