In this paper, we present characterizations for the level-2 condition number of the weighted Moore–Penrose inverse, i.e., condMN (A) ≤ cond [2] MN (A) ≤ condMN (A)+ 1, where condMN (A) is the condition number of the weighted Moore–Penrose inverse of a rectangular matrix and cond [2] MN (A) is the level-2 condition number of this problem. This paper extends the result by Cucker, Diao and Wei [F....

This paper proposes an active learning (AL) algorithm to solve regression problems based on inverse-distance weighting functions for selecting the feature vectors query. The has following features: (i) supports both pool-based and population-based sampling; (ii) is not tailored a particular class of predictors; (iii) can handle known unknown constraints queryable vectors; (iv) run either sequen...

In this paper, we focus on the crowd localization task, a crucial topic of analysis. Most regression-based methods utilize convolution neural networks (CNN) to regress density map, which can not accurately locate instance in extremely dense scene, attributed two reasons: 1) map consists series blurry Gaussian blobs, 2) severe overlaps exist region map. To tackle issue, propose novel Focal Inver...

While Distance Weighted Discrimination (DWD) is an appealing approach to classification in high dimensions, it was designed for balanced datasets. In the case of unequal costs, biased sampling, or unbalanced data, there are major improvements available, using appropriately weighted versions of DWD (wDWD). A major contribution of this paper is the development of optimal weighting schemes for var...

Cassting Workshop on Games for the Synthesis of Complex Systems and 3rd International Workshop on Synthesis of Complex Parameters (Cassting’16/SynCoP’16). EPTCS 220, 2016, pp. 63–75, doi:10.4204/EPTCS.220.6 c © L. Foshammer, K.G Larsen & A. Mariegaard This work is licensed under the Creative Commons Attribution License. Weighted Branching Simulation Distance for Parametric Weighted Kripke Struc...