Abstract. This paper offers a critique of the framework of Constraint Satisfaction Problems. While this framework has been successful in studying search techniques, and has inspire...
Trajectory design for high-dimensional systems with nonconvex constraints is a challenging problem considered in this paper. Classical dynamic programming is often employed, but c...
CPU bound client puzzles have been suggested as a defense mechanism against connection depletion attacks. However, the wide disparity in CPU speeds prevents such puzzles from being...
We propose an unsupervised approach to learn associations between continuous-valued attributes from different modalities. These associations are used to construct a multi-modal t...
We propose a new robust estimator for parameter estimation in highly noisy data with multiple structures and without prior information on the noise scale of inliers. This is a diag...
Trung Ngo Thanh, Hajime Nagahara, Ryusuke Sagawa, ...