Zobrazeno 1 - 10
of 11 186
pro vyhledávání: '"A. Ramanujam"'
Autor:
Ramanujam, Asha, Li, Can
Optimization models with decision variables in multiple time scales are widely used across various fields such as integrated planning and scheduling. To address scalability challenges in these models, we present the Parametric Autotuning Multi-Time S
Externí odkaz:
http://arxiv.org/abs/2407.16570
Autor:
Maji, Moupiya, More, Surhud, Sule, Aniket, Balasubramanya, Vishaak, Bhandari, Ankit, Chand, Hum, Chavan, Kshitij, Dasgupta, Avik, De, Anindya, Gangopadhyay, Jayant, Gulati, Mamta, Hasan, Priya, Ishtiyaq, Syed, Madani, Meraj, Misra, Kuntal, N, Amoghavarsha, Oberoi, Divya, Pattnaik, Subhendu, Patwardhan, Mayuri, Ramanujam, Niruj Mohan, Ranadive, Pritesh, Sawant, Disha, Sharma, Paryag, Sharma, Twinkle, Shetye, Sai, Singhal, Akshat, Srivastava, Ajit M., Sudan, Madhu, Syed, Mumtaz, Vikranth, Pulamathi, Yadav, Virendra
We present the results of a nation-wide baseline survey, conducted by us, for the status of Astronomy education among secondary school students in India. The survey was administered in 10 different languages to over 2000 students from diverse backgro
Externí odkaz:
http://arxiv.org/abs/2406.12308
The tubulin-like protein FtsZ is crucial for cytokinesis in bacteria and many archaea, forming a ring-shaped structure called the Z-ring at the site of cell division. Despite extensive research, the formation of Z-rings is not entirely understood. We
Externí odkaz:
http://arxiv.org/abs/2405.17619
Autor:
Bindal, Akanksha, Ramanujam, Sudarshan, Golland, Dave, Hazen, TJ, Jiang, Tina, Zhang, Fengyu, Yan, Peng
In enhancing LinkedIn core content recommendation models, a significant challenge lies in improving their semantic understanding capabilities. This paper addresses the problem by leveraging multi-task learning, a method that has shown promise in vari
Externí odkaz:
http://arxiv.org/abs/2405.11344
Semantic segmentation is a core computer vision problem, but the high costs of data annotation have hindered its wide application. Weakly-Supervised Semantic Segmentation (WSSS) offers a cost-efficient workaround to extensive labeling in comparison t
Externí odkaz:
http://arxiv.org/abs/2405.06586
This paper provides a review on representation learning for videos. We classify recent spatiotemporal feature learning methods for sequential visual data and compare their pros and cons for general video analysis. Building effective features for vide
Externí odkaz:
http://arxiv.org/abs/2405.06574
When faced with a limited budget of function evaluations, state-of-the-art black-box optimization (BBO) solvers struggle to obtain globally, or sometimes even locally, optimal solutions. In such cases, one may pursue solution polishing, i.e., a compu
Externí odkaz:
http://arxiv.org/abs/2402.12283
In the symbolic verification of cryptographic protocols, a central problem is deciding whether a protocol admits an execution which leaks a designated secret to the malicious intruder. Rusinowitch & Turuani (2003) show that, when considering finitely
Externí odkaz:
http://arxiv.org/abs/2308.13773
Camera orientations (i.e., rotation and zoom) govern the content that a camera captures in a given scene, which in turn heavily influences the accuracy of live video analytics pipelines. However, existing analytics approaches leave this crucial adapt
Externí odkaz:
http://arxiv.org/abs/2304.02101
Autor:
Liang, Jiayun, Ma, Ke, Zhao, Xiao, Lu, Guanyu, Riffle, Jake V., Andrei, Carmen, Dong, Chengye, Furkan, Turker, Rajabpour, Siavash, Prabhakar, Rajiv Ramanujam, Robinson, Joshua A., Vasquez Jr., Magdaleno R., Trinh, Quang Thang, Ager, Joel W., Salmeron, Miquel, Aloni, Shaul, Caldwell, Joshua D., Hollen, Shawna M., Bechtel, Hans A., Bassim, Nabil, Sherburne, Matthew P., Balushi, Zakaria Y. Al
Intercalation is a process of inserting chemical species into the heterointerfaces of two-dimensional (2D) layered materials. While much research has focused on intercalating metals and small gas molecules into graphene, the intercalation of larger m
Externí odkaz:
http://arxiv.org/abs/2304.01939