Zobrazeno 1 - 10
of 195 751
pro vyhledávání: '"A, Sami"'
Autor:
Rasheed, Zeeshan, Sami, Malik Abdul, Rasku, Jussi, Kemell, Kai-Kristian, Zhang, Zheying, Harjamaki, Janne, Siddeeq, Shahbaz, Lahti, Sami, Herda, Tomas, Nurminen, Mikko, Lavesson, Niklas, de Cerqueira, Jose Siqueira, Hasan, Toufique, Khan, Ayman, Hasan, Mahade, Saari, Mika, Rantanen, Petri, Soini, Jari, Abrahamsson, Pekka
Present-day software development faces three major challenges: complexity, time consumption, and high costs. Developing large software systems often requires battalions of teams and considerable time for meetings, which end without any action, result
Externí odkaz:
http://arxiv.org/abs/2411.08507
Autor:
Wijk, Hjalmar, Lin, Tao, Becker, Joel, Jawhar, Sami, Parikh, Neev, Broadley, Thomas, Chan, Lawrence, Chen, Michael, Clymer, Josh, Dhyani, Jai, Ericheva, Elena, Garcia, Katharyn, Goodrich, Brian, Jurkovic, Nikola, Kinniment, Megan, Lajko, Aron, Nix, Seraphina, Sato, Lucas, Saunders, William, Taran, Maksym, West, Ben, Barnes, Elizabeth
Frontier AI safety policies highlight automation of AI research and development (R&D) by AI agents as an important capability to anticipate. However, there exist few evaluations for AI R&D capabilities, and none that are highly realistic and have a d
Externí odkaz:
http://arxiv.org/abs/2411.15114
CLFace: A Scalable and Resource-Efficient Continual Learning Framework for Lifelong Face Recognition
An important aspect of deploying face recognition (FR) algorithms in real-world applications is their ability to learn new face identities from a continuous data stream. However, the online training of existing deep neural network-based FR algorithms
Externí odkaz:
http://arxiv.org/abs/2411.13886
Autor:
Smitha, H. N., Shapiro, Alexander I., Witzke, Veronika, Kostogryz, Nadiia M., Unruh, Yvonne C., Bhatia, Tanayveer S., Cameron, Robert, Seager, Sara, Solanki, Sami K.
Accurate calculations of starspot spectra are essential for multiple applications in astronomy. The current standard is to represent starspot spectra by spectra of stars that are cooler than the quiet star regions. This implies approximating a starsp
Externí odkaz:
http://arxiv.org/abs/2411.14056
Although recent diffusion-based single-step super-resolution methods achieve better performance as compared to SinSR, they are computationally complex. To improve the performance of SinSR, we investigate preserving the high-frequency detail features
Externí odkaz:
http://arxiv.org/abs/2411.13548
This study proposes a novel approach for real-time facial expression recognition utilizing short-range Frequency-Modulated Continuous-Wave (FMCW) radar equipped with one transmit (Tx), and three receive (Rx) antennas. The system leverages four distin
Externí odkaz:
http://arxiv.org/abs/2411.11619
Event cameras capture sparse, asynchronous brightness changes which offer high temporal resolution, high dynamic range, low power consumption, and sparse data output. These advantages make them ideal for Space Situational Awareness, particularly in d
Externí odkaz:
http://arxiv.org/abs/2411.11233
Autor:
Islam, Mohammad Saiful, Rakha, Mohamed Sami, Pourmajidi, William, Sivaloganathan, Janakan, Steinbacher, John, Miranskyy, Andriy
As Large-Scale Cloud Systems (LCS) become increasingly complex, effective anomaly detection is critical for ensuring system reliability and performance. However, there is a shortage of large-scale, real-world datasets available for benchmarking anoma
Externí odkaz:
http://arxiv.org/abs/2411.09047
Autor:
Soni, Aditya, Das, Mayukh, Parayil, Anjaly, Ghosh, Supriyo, Shandilya, Shivam, Cheng, Ching-An, Gopal, Vishak, Khairy, Sami, Mittag, Gabriel, Hosseinkashi, Yasaman, Bansal, Chetan
The difficulty of exploring and training online on real production systems limits the scope of real-time online data/feedback-driven decision making. The most feasible approach is to adopt offline reinforcement learning from limited trajectory sample
Externí odkaz:
http://arxiv.org/abs/2411.06815
Autor:
Bulut, Muhammed Fatih, Liu, Yingqi, Ahmad, Naveed, Turner, Maximilian, Ouahmane, Sami Ait, Andrews, Cameron, Greenwald, Lloyd
Large and Small Language Models (LMs) are typically pretrained using extensive volumes of text, which are sourced from publicly accessible platforms such as Wikipedia, Book Corpus, or through web scraping. These models, due to their exposure to a wid
Externí odkaz:
http://arxiv.org/abs/2411.07528