Zobrazeno 1 - 10
of 73
pro vyhledávání: '"Sandhu, Romeil"'
Autor:
Sandhu, Romeil Singh
The field of computer vision focuses on the goal of developing techniques to exploit and extract information from underlying data that may represent images or other multidimensional data. In particular, two well-studied problems in computer vision ar
Externí odkaz:
http://hdl.handle.net/1853/37245
Autor:
Sandhu, Romeil, Liu, Ji
In this work, we propose to utilize discrete graph Ricci flow to alter network entropy through feedback control. Given such feedback input can reverse entropic changes, we adapt the moniker of Maxwells Demon to motivate our approach. In particular, i
Externí odkaz:
http://arxiv.org/abs/1910.04560
The ability to accurately reconstruct the 3D facets of a scene is one of the key problems in robotic vision. However, even with recent advances with machine learning, there is no high-fidelity universal 3D reconstruction method for this optimization
Externí odkaz:
http://arxiv.org/abs/1910.02738
Autor:
Lin, Yixuan, Zhang, Kaiqing, Yang, Zhuoran, Wang, Zhaoran, Başar, Tamer, Sandhu, Romeil, Liu, Ji
This paper considers a distributed reinforcement learning problem in which a network of multiple agents aim to cooperatively maximize the globally averaged return through communication with only local neighbors. A randomized communication-efficient m
Externí odkaz:
http://arxiv.org/abs/1907.03053
At the core of understanding dynamical systems is the ability to maintain and control the systems behavior that includes notions of robustness, heterogeneity, or regime-shift detection. Recently, to explore such functional properties, a convenient re
Externí odkaz:
http://arxiv.org/abs/1708.07904
Image segmentation is a fundamental problem in computational vision and medical imaging. Designing a generic, automated method that works for various objects and imaging modalities is a formidable task. Instead of proposing a new specific segmentatio
Externí odkaz:
http://arxiv.org/abs/1606.08008
Autor:
Sandhu, Romeil, Tannenbaum, Sarah, Diolaiti, Daniel, Ambesi-Impiombato, Alberto, Kung, Andrew, Tannenbaum, Allen
The amplification of the gene MYCN (V-myc myelocytomatosis viral-valeted oncogene, neuroblastoma derived) has been a well-documented indicator for poor prognosis in neuroblastoma, a childhood cancer. Unfortunately, there has been limited success in u
Externí odkaz:
http://arxiv.org/abs/1602.00650
Autor:
Sandhu, Romeil, Lamhamedi-Cherradi, Salah-Eddine, Tannenbaum, Sarah, Ludwig, Joseph, Tannenbaum, Allen
We present preliminary results that quantify network robustness and fragility of Ewing sarcoma (ES), a rare pediatric bone cancer that often exhibits de novo or acquired drug resistance. By identifying novel proteins or pathways susceptible to drug t
Externí odkaz:
http://arxiv.org/abs/1509.03642
Measuring systemic risk or fragility of financial systems is a ubiquitous task of fundamental importance in analyzing market efficiency, portfolio allocation, and containment of financial contagions. Recent attempts have shown that representing such
Externí odkaz:
http://arxiv.org/abs/1505.05182
Autor:
Tannenbaum, Allen, Sander, Chris, Zhu, Liangjia, Sandhu, Romeil, Kolesov, Ivan, Reznik, Eduard, Senbabaoglu, Yasin, Georgiou, Tryphon
The importance of studying properties of networks is manifest in diverse fields ranging from biology, engineering, physics, chemistry, neuroscience, and medicine. The functionality of networks with regard to performance, throughput, reliability and r
Externí odkaz:
http://arxiv.org/abs/1502.04512