Zobrazeno 1 - 10
of 5 701
pro vyhledávání: '"P. Rajapakse"'
Autor:
Lyu, Pengfei, Yeung, Pak-Hei, Cheng, Xiufei, Yu, Xiaosheng, Wu, Chengdong, Rajapakse, Jagath C.
Unmanned aerial vehicle (UAV)-based bi-modal salient object detection (BSOD) aims to segment salient objects in a scene utilizing complementary cues in unaligned RGB and thermal image pairs. However, the high computational expense of existing UAV-bas
Externí odkaz:
http://arxiv.org/abs/2411.03728
Autor:
Pickard, Joshua, Choi, Marc Andrew, Oliven, Natalie, Stansbury, Cooper, Cwycyshyn, Jillian, Galioto, Nicholas, Gorodetsky, Alex, Velasquez, Alvaro, Rajapakse, Indika
Recent advancements in Large Language Models (LLMs) are transforming biology, computer science, and many other research fields, as well as impacting everyday life. While transformer-based technologies are currently being deployed in biology, no avail
Externí odkaz:
http://arxiv.org/abs/2409.02864
Autor:
Zhang, Weijia, Huang, Jia-Hong, Vakulenko, Svitlana, Xu, Yumo, Rajapakse, Thilina, Kanoulas, Evangelos
Query-focused summarization (QFS) is a fundamental task in natural language processing with broad applications, including search engines and report generation. However, traditional approaches assume the availability of relevant documents, which may n
Externí odkaz:
http://arxiv.org/abs/2408.10357
Microservices architecture has been established as an ideal software architecture for cloud-based software development and deployment, offering many benefits such as agility and efficiency. Microservices are often associated with containers and conta
Externí odkaz:
http://arxiv.org/abs/2405.12311
Autor:
Pickard, Joshua, Stansbury, Cooper, Surana, Amit, Muir, Lindsey, Bloch, Anthony, Rajapakse, Indika
Biomarkers enable objective monitoring of a given cell or state in a biological system and are widely used in research, biomanufacturing, and clinical practice. However, identifying appropriate biomarkers that are both robustly measurable and capture
Externí odkaz:
http://arxiv.org/abs/2405.09809
Autor:
Chan, Trevor J., Sahni, Aarush, Fang, Yijin, Li, Jie, Luthra, Alisha, Pouch, Alison, Rajapakse, Chamith S.
We introduce SAM3D, a new approach to semi-automatic zero-shot segmentation of 3D images building on the existing Segment Anything Model. We achieve fast and accurate segmentations in 3D images with a four-step strategy involving: user prompting with
Externí odkaz:
http://arxiv.org/abs/2405.06786
Autor:
Chan, Yi Hao, Girish, Deepank, Gupta, Sukrit, Xia, Jing, Kasi, Chockalingam, He, Yinan, Wang, Conghao, Rajapakse, Jagath C.
Graph neural networks (GNN) have emerged as a popular tool for modelling functional magnetic resonance imaging (fMRI) datasets. Many recent studies have reported significant improvements in disorder classification performance via more sophisticated G
Externí odkaz:
http://arxiv.org/abs/2405.00577
Autor:
Chan, Trevor J., Rajapakse, Chamith S.
Publikováno v:
2024 IEEE International Symposium on Biomedical Imaging (ISBI)
Deep learning methods for accelerated MRI achieve state-of-the-art results but largely ignore additional speedups possible with noncartesian sampling trajectories. To address this gap, we created a generative diffusion model-based reconstruction algo
Externí odkaz:
http://arxiv.org/abs/2404.12361
In this paper we consider aspects of geometric observability for hypergraphs, extending our earlier work from the uniform to the nonuniform case. Hypergraphs, a generalization of graphs, allow hyperedges to connect multiple nodes and unambiguously re
Externí odkaz:
http://arxiv.org/abs/2404.07480
Autor:
Strynar, C., Rajapakse, R. M.
Some of the most impressive achievements of contemporary Machine Learning systems comes from the GAN (Generative Adversarial Network) structure. DALLE-2 and GPT- 3, two of the most impressive and recognizable feats of ML in recent years, were both tr
Externí odkaz:
http://arxiv.org/abs/2310.19117