KitBit: A New AI Model for Solving Intelligence Tests and Numerical Series

no code implementations • 17 Jun 2022 • Víctor Corsino, José Manuel Gilpérez, Luis Herrera

We present a new computational model called KitBit that uses a reduced set of algorithms and their combinations to build a predictive model that finds the underlying pattern in numerical sequences, such as those included in IQ tests and others of much greater complexity.

Approximate Sensitivity Conditioning and Singular Perturbation Analysis for Power Converters

no code implementations • 31 Mar 2022 • Kaushik Gajula, Lalit Kishore Marepalli, Luis Herrera

A sensitivity conditioning control strategy is analyzed in this paper and it is applied to power electronic converters.

2017 Robotic Instrument Segmentation Challenge

3 code implementations • 18 Feb 2019 • Max Allan, Alex Shvets, Thomas Kurmann, Zichen Zhang, Rahul Duggal, Yun-Hsuan Su, Nicola Rieke, Iro Laina, Niveditha Kalavakonda, Sebastian Bodenstedt, Luis Herrera, Wenqi Li, Vladimir Iglovikov, Huoling Luo, Jian Yang, Danail Stoyanov, Lena Maier-Hein, Stefanie Speidel, Mahdi Azizian

In mainstream computer vision and machine learning, public datasets such as ImageNet, COCO and KITTI have helped drive enormous improvements by enabling researchers to understand the strengths and limitations of different algorithms via performance comparison.

Benchmarking Person Re-Identification +2