3 code implementations • 9 Feb 2015 • Yong Luo, DaCheng Tao, Yonggang Wen, Kotagiri Ramamohanarao, Chao Xu
As a consequence, the high order correlation information contained in the different views is explored and thus a more reliable common subspace shared by all features can be obtained.
no code implementations • ICML 2020 • Jiacheng Cheng, Tongliang Liu, Kotagiri Ramamohanarao, DaCheng Tao
Inspired by the idea of learning with distilled examples, we then propose a learning algorithm with theoretical guarantees for its robustness to BILN.
no code implementations • 24 Aug 2018 • Jiayuan He, Jianzhong Qi, Kotagiri Ramamohanarao
We propose two trip recommendation algorithms based on our context-aware POI embedding.
no code implementations • 1 Aug 2019 • Ang Li, Jianzhong Qi, Rui Zhang, Xingjun Ma, Kotagiri Ramamohanarao
Image inpainting aims at restoring missing regions of corrupted images, which has many applications such as image restoration and object removal.
1 code implementation • 24 Jul 2020 • Emir Demirović, Anna Lukina, Emmanuel Hebrard, Jeffrey Chan, James Bailey, Christopher Leckie, Kotagiri Ramamohanarao, Peter J. Stuckey
Heuristic methods are traditionally used to quickly produce models with reasonably high accuracy.
1 code implementation • 1 Sep 2020 • Shreshth Tuli, Shashikant Ilager, Kotagiri Ramamohanarao, Rajkumar Buyya
The ubiquitous adoption of Internet-of-Things (IoT) based applications has resulted in the emergence of the Fog computing paradigm, which allows seamlessly harnessing both mobile-edge and cloud resources.
1 code implementation • 23 Sep 2020 • Jiabo He, Sarah Erfani, Sudanthi Wijewickrema, Stephen O'Leary, Kotagiri Ramamohanarao
Time series with large discontinuities are common in many scenarios.
Databases
1 code implementation • 23 Sep 2020 • Jiabo He, Sarah Erfani, Sudanthi Wijewickrema, Stephen O'Leary, Kotagiri Ramamohanarao
Semantic segmentation is one of the key problems in the field of computer vision, as it enables computer image understanding.
no code implementations • 7 Nov 2020 • Shashikant Ilager, Kotagiri Ramamohanarao, Rajkumar Buyya
Specifically, we propose a gradient boosting machine learning model for temperature prediction.
no code implementations • 22 Oct 2022 • Caesar Wu, Kotagiri Ramamohanarao, Rui Zhang, Pascal Bouvry
Strategic Decision-Making is always challenging because it is inherently uncertain, ambiguous, risky, and complex.