82 citations · 90 across the 6 of their papers we have counts for
6 papers
Domain-Invariant Proposals based on a Balanced Domain Classifier for Object Detection
Zhize Wu, Xiaofeng Wang, Tong Xu +4
Object recognition from images means to automatically find object(s) of interest and to return their category and location information. Benefiting from research on deep learning, l…
Frequency Fitness Assignment: Optimization without Bias for Good Solutions can be Efficient
Thomas Weise, Zhize Wu, Xinlu Li +2
A fitness assignment process transforms the features (such as the objective value) of a candidate solution to a scalar fitness, which then is the basis for selection. Under Frequen…
Benchmarking in Optimization: Best Practice and Open Issues
Thomas Bartz-Beielstein, Carola Doerr, Daan van den Berg +14
This survey compiles ideas and recommendations from more than a dozen researchers with different backgrounds and from different institutes around the world. Promoting best practice…
Skeleton Based Action Recognition using a Stacked Denoising Autoencoder with Constraints of Privileged Information
Zhize Wu, Thomas Weise, Le Zou +2
Recently, with the availability of cost-effective depth cameras coupled with real-time skeleton estimation, the interest in skeleton-based human action recognition is renewed. Most…
Frequency Fitness Assignment: Making Optimization Algorithms Invariant under Bijective Transformations of the Objective Function Value
Thomas Weise, Zhize Wu, Xinlu Li +1
Under Frequency Fitness Assignment (FFA), the fitness corresponding to an objective value is its encounter frequency in fitness assignment steps and is subject to minimization. FFA…
An Improved Generic Bet-and-Run Strategy for Speeding Up Stochastic Local Search
Thomas Weise, Zijun Wu, Markus Wagner
A commonly used strategy for improving optimization algorithms is to restart the algorithm when it is believed to be trapped in an inferior part of the search space. Building on th…