(self._extract_format_for_quality( api_data, video_id, audio_quality, video_quality)) self._sort_formats(formats) else: # "Old" HTML5 videos formats = [{ 'url': video_real_url, 'ext': 'mp4', 'format_id': _format_id_from_url(video_real_url), }] def get_video...
( "application/x-folder", "application/x-comic-folder", "application/x-comic-folder-nomerge", ): return False # get filename from 'Content-Disposition' header cdis = headers["content-disposition"] fname, _, ext = text.extract( cdis, 'filename="', '"')[0].rpartition(...
While being an important part of a web information extraction application such wrappers are not sufficient to fully access a source. Indeed, it is necessary to setup an infrastructure allowing to build queries, fetch pages, extract specific links, etc. In this paper we propose a language called...
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Accordingly, this paper aims to propose an efficient, but simple, method for regularizing deep neural networks, allowing the networks to extract highly discriminative features, as the experimental results certify this assertion. Moreover, the proposed method is suitable for the case of small-sized ...
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This paper can additionally aid in identifying any potential vulnerabilities of ML and DL techniques in this specific application and determining strategies to mitigate them. 3. Methodology DL enables computers to autonomously and directly extract valuable representations and characteristics from unprocessed ...
Unlike the original Deep-STORM network, our notebook also allows us to extract the localisation coordinates from the reconstructed image, enabling further analysis such as drift correction (available within the notebook) and spatial point pattern analysis46,47,48. To illustrate the capabilities of ...
Extract the Knowledge of Graph Neural Networks and Go Beyond it: An Effective Knowledge Distillation Framework, WWW'21,Cheng Yang, Jiawei Liu, Chuan Shi VIKING: Adversarial Attack on Network Embeddings via Supervised Network Poisoning, PAKDD'21,Viresh Gupta, Tanmoy Chakraborty ...
Provides descriptions and implementations of algorithms and their implementations for everything related to Data Science, Machine Learning, Deep Learning and Artificial Intelligence - nmn-pandey/DS-ML-DL-AI-Explained