Zobrazeno 1 - 10
of 17 419
pro vyhledávání: '"P Raghavan"'
Autor:
Raghavan, Ksheeraja, Gode, Samiran, Shah, Ankit, Raghavan, Surabhi, Burgard, Wolfram, Raj, Bhiksha, Singh, Rita
We introduce a novel, general-purpose audio generation framework specifically designed for anomaly detection and localization. Unlike existing datasets that predominantly focus on industrial and machine-related sounds, our framework focuses a broader
Externí odkaz:
http://arxiv.org/abs/2410.03904
The integration of unmanned platforms equipped with advanced sensors promises to enhance situational awareness and mitigate the "fog of war" in military operations. However, managing the vast influx of data from these platforms poses a significant ch
Externí odkaz:
http://arxiv.org/abs/2411.05683
The Cancer Registry of Norway (CRN) is a part of the Norwegian Institute of Public Health (NIPH) and is tasked with producing statistics on cancer among the Norwegian population. For this task, CRN develops, tests, and evolves a software system calle
Externí odkaz:
http://arxiv.org/abs/2411.04740
Autor:
Raghavan, Dilip
Q-points are cofinal in the RK-ordering under several mild hypotheses.
Comment: 5 pages
Comment: 5 pages
Externí odkaz:
http://arxiv.org/abs/2410.20216
Autor:
Muqeet, Asmar, Sartaj, Hassan, Arreieta, Aitor, Ali, Shaukat, Arcaini, Paolo, Arratibel, Maite, Gjøby, Julie Marie, Veeraragavan, Narasimha Raghavan, Nygård, Jan F.
Machine learning has been extensively applied for various classical software testing activities such as test generation, minimization, and prioritization. Along the same lines, recently, there has been interest in applying quantum machine learning to
Externí odkaz:
http://arxiv.org/abs/2410.15494
Molecular polaritons arise when the collective coupling between an ensemble of $N$ molecules and an optical mode exceeds individual photon and molecular linewidths. The complexity of their description stems from their multiscale nature, where the loc
Externí odkaz:
http://arxiv.org/abs/2410.14175
Data rebalancing techniques, including oversampling and undersampling, are a common approach to addressing the challenges of imbalanced data. To tackle unresolved problems related to both oversampling and undersampling, we propose a new undersampling
Externí odkaz:
http://arxiv.org/abs/2410.11171
Logical ring is a core component in membership protocol. However, the logic ring fails to consider the underlying physical latency, resulting in a high diameter. To address this issue, we introduce Diameter-Guided Ring Optimization (DGRO), which focu
Externí odkaz:
http://arxiv.org/abs/2410.11142
We introduce a novel framework for human-AI collaboration in prediction and decision tasks. Our approach leverages human judgment to distinguish inputs which are algorithmically indistinguishable, or "look the same" to any feasible predictive algorit
Externí odkaz:
http://arxiv.org/abs/2410.08783
Text-to-image diffusion models rely on massive, web-scale datasets. Training them from scratch is computationally expensive, and as a result, developers often prefer to make incremental updates to existing models. These updates often compose fine-tun
Externí odkaz:
http://arxiv.org/abs/2410.08074