Results 51 to 60 of about 90,572 (216)
Speech enhancement aided end-to-end multi-task learning for voice activity detection [PDF]
arXiv, 2020 Robust voice activity detection (VAD) is a challenging task in low signal-to-noise (SNR) environments. Recent studies show that speech enhancement is helpful to VAD, but the performance improvement is limited. To address this issue, here we propose a speech enhancement aided end-to-end multi-task model for VAD.
arxiv
Survey on video anomaly detection in dynamic scenes with moving cameras [PDF]
arXiv, 2023 The increasing popularity of compact and inexpensive cameras, e.g.~dash cameras, body cameras, and cameras equipped on robots, has sparked a growing interest in detecting anomalies within dynamic scenes recorded by moving cameras. However, existing reviews primarily concentrate on Video Anomaly Detection (VAD) methods assuming static cameras.
arxiv
Radiosensitization of solid tumors by Z-VAD, a pan-caspase inhibitor
Molecular Cancer Therapeutics, 2009 Despite recent advances in the management of breast and lung cancer, novel treatment strategies are still needed to further improve patient outcome. The targeting of cell death pathways has therefore been proposed to enhance therapeutic ratio in cancer ...
L. Moretti +4 more
semanticscholar +1 more source
Norsk Filosofisk Tidsskrift, 2019 Sammanfattning Genom en diskussion av en sketch ur en komediföreställning kommer jag att lyfta fram humorns och komedins relation till skepticismen som tema i Stanley Cavells filosofi. I The Claim of Reason utvecklar Cavell ett samband mellan
Stina Bäckström
doaj +1 more source
, 2010 An assessment is presented on the relative forecast impact on the performance of a numerical weather prediction model from eight different observation data types: aircraft, profiler, radiosonde, velocity azimuth display (VAD), GPS-derived precipitable ...
S. Benjamin +5 more
semanticscholar +1 more source
ESC Heart Failure, 2021 Aims Because reported mortality on veno‐arterial (V‐A) extracorporeal life support (ECLS) substantially varies between centres, the aim of the current analysis was to assess the outcomes between units performing heart transplantation and/or implanting ...
Mariusz Kowalewski +20 more
doaj +1 more source
End-Point Detection with State Transition Model based on Chunk-Wise Classification [PDF]
arXiv, 2019 A state transition model (STM) based on chunk-wise classification was proposed for end-point detection (EPD). In general, EPD is developed using frame-wise voice activity detection (VAD) with additional STM, in which the state transition is conducted based on VAD's frame-level decision (speech or non-speech).
arxiv
Caspase-dependent immunogenicity of doxorubicin-induced tumor cell death
Journal of Experimental Medicine, 2005 Systemic anticancer chemotherapy is immunosuppressive and mostly induces nonimmunogenic tumor cell death. Here, we show that even in the absence of any adjuvant, tumor cells dying in response to anthracyclins can elicit an effective antitumor immune ...
N. Casares +17 more
semanticscholar +1 more source
Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease, 2020 Background Spontaneous vertebral arterial dissection (VAD) is an important cause of posterior circulation ischemic stroke (PCS), but its pathogenesis remains elusive. Matrix metalloproteinase 9 (MMP‐9) is a gelatinase involved in inflammation process and
Chun‐Yu Chen +3 more
doaj +1 more source
Dimensional Emotion Detection from Categorical Emotion [PDF]
arXiv, 2019 We present a model to predict fine-grained emotions along the continuous dimensions of valence, arousal, and dominance (VAD) with a corpus with categorical emotion annotations. Our model is trained by minimizing the EMD (Earth Mover's Distance) loss between the predicted VAD score distribution and the categorical emotion distributions sorted along VAD,
arxiv