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Dutch Government Documents
by Nederlandse overheid; Dutch government; Borne
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Topics: officiële publicatie, Overige overheidsinformatie
Dutch Government Documents
by Nederlandse overheid; Dutch government; Nieuwegein
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Topics: officiële publicatie, Overige overheidsinformatie
Topics: officiële publicatie, Beschikkingen | aanvraag
Project Gutenberg
by Human Genome Project
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Book from Project Gutenberg: Human Genome Project, Chromosome Number 16
Topics: Human Genome Project, Nucleotide sequence, Human gene mapping, Human genetics, QH, QP
Source: https://www.gutenberg.org/ebooks/3516
Project Gutenberg
by Human Genome Project
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Book from Project Gutenberg: Human Genome Project, Chromosome Number 18
Topics: QP, Human genetics, Human gene mapping, QH, Nucleotide sequence, Human Genome Project
Source: https://www.gutenberg.org/ebooks/3518
Project Gutenberg
by Human Genome Project
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Book from Project Gutenberg: Human Genome Project, Chromosome Number 14
Topics: Human Genome Project, Nucleotide sequence, QP, Human gene mapping, QH, Human genetics
Source: https://www.gutenberg.org/ebooks/3514
Project Gutenberg
by Human Genome Project
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Book from Project Gutenberg: Human Genome Project, Chromosome Number 20
Topics: Human Genome Project, Nucleotide sequence, Human genetics, Human gene mapping, QH, QP
Source: https://www.gutenberg.org/ebooks/3520
Project Gutenberg
by Human Genome Project
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Book from Project Gutenberg: Human Genome Project, Chromosome Number 15
Topics: Human gene mapping, QH, Human Genome Project, Human genetics, Nucleotide sequence, QP
Source: https://www.gutenberg.org/ebooks/3515
Project Gutenberg
by Human Genome Project
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Book from Project Gutenberg: Human Genome Project, Y Chromosome
Topics: Human genetics, Human Genome Project, QH, Nucleotide sequence, Human gene mapping, QP
Source: https://www.gutenberg.org/ebooks/3524
Archive Team: Google Sites
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Archive Team: The Reddit Shreddit
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Archive Team: The Reddit Shreddit
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Archive Team: The Reddit Shreddit
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Archive Team: The Reddit Shreddit
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Archive Team: The Reddit Shreddit
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Archive Team: The Reddit Shreddit
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Archive Team: The Reddit Shreddit
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Archive Team: The Github Hitrub
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Archiveteam: Kicking the Bitbucket
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Archive Team: Pastebin
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Academic Torrents
by Zeber, David; Bird, Sarah; Oliveira, Camila; Rudametkin, Walter; Segall, Ilana; Wolls\'{e}n, Fredrik; Lopatka, Martin
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Large-scale Web crawls have emerged as the state of the art for studying characteristics of the Web. In particular, they are a core tool for online tracking research. Web crawling is an attractive approach to data collection, as crawls can be run at relatively low infrastructure cost and don’t require handling sensitive user data such as browsing histories. However, the biases introduced by using crawls as a proxy for human browsing data have not been well studied. Crawls may fail to capture...
Topics: Web Crawling, Online Privacy, Tracking, Browser Fingerprinting, World Wide Web
Source: http://academictorrents.com/details/5e9ef2b5531ce3b965681be6eccab1fbd114af62
Academic Torrents
by Idio
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Gensim Word2vec model built on the english wikipedia, 1000dimensions, 10cbow, no stemming
Topics: Wikipedia, nlp, word2vec, english, gensim, deeplearning, natural language, wiki
Source: http://academictorrents.com/details/5d18911e7036870197bf5e23cf1be96d3353518a
Archiveteam: Kicking the Bitbucket
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Topics: officiële publicatie, Beschikkingen | afhandeling
Topics: officiële publicatie, Beschikkingen | afhandeling
Dutch Government Documents
by Nederlandse overheid; Dutch government; De Fryske Marren
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Topics: officiële publicatie, Beschikkingen | aanvraag
Academic Torrents
by Stphane Bounkong; Bormi Toch; David Saad; David Lowe
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Source: http://academictorrents.com/details/9f40e4061d1c70a8ef6e0c828c1f7f4f4b64648b
Academic Torrents
by Microsoft
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Microsoft COCO is a new image recognition, segmentation, and captioning dataset. Microsoft COCO has several features: Object segmentation Recognition in Context Multiple objects per image More than 300,000 images More than 2 Million instances 80 object categories 5 captions per image The 2014 Testing Images are for the MS COCO Captioning Challenge, while the 2015 Testing Images are for the MS COCO Detection Challenge. The train and val data are common to both challenges. Note also that as an...
Source: http://academictorrents.com/details/f993c01f3c268b5d57219a38f8ec73ee7524421a
Academic Torrents
by Nicols Garca-Pedrajas; Csar Garca-Osorio; Colin Fyfe
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Source: http://academictorrents.com/details/26f0ee842a3ac66f7e1a75d9585a06872284150b
Academic Torrents
by Patrick O. Perry; Art B. Owen
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Source: http://academictorrents.com/details/20034c6750ff4bc08205ca738a7a4c8e284c2025
Academic Torrents
by Thomas Jaksch; Ronald Ortner; Peter Auer
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Source: http://academictorrents.com/details/4f529518067fdcaebcd7a132ca84a640d1571b8a
Archive Team: Pastebin
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Topics: officiële publicatie, Beschikkingen | afhandeling
Academic Torrents
by Simon Gnter; Nicol N. Schraudolph; S. V. N. Vishwanathan
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Source: http://academictorrents.com/details/a63f5649a1288237c6f5d3904c1999a8c889ab90
Academic Torrents
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Source: http://academictorrents.com/details/a277728a89b5185b8dccec50f325a2c2adb45eb0
Academic Torrents
by Kyle Wilson; Noah Snavely
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We present a simple, effective method for solving structure from motion problems by averaging epipolar geometries. Based on recent successes in solving for global camera rotations using averaging schemes, we focus on the problem of solving for 3D camera translations given a network of noisy pairwise camera translation directions (or 3D point observations). To do this well, we have two main insights. First, we propose a method for removing outliers from problem instances by solving simpler...
Source: http://academictorrents.com/details/9fba8b6d6323a8eb66b0fee0886f134a16625eef
Academic Torrents
by Adam Ligocki, Ales Jelinek, Ludek Zalud
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Navigation and localisation dataset for self driving cars and autonomous robots.
Topics: autonomous driving, mapping, slam
Source: http://academictorrents.com/details/b017501233527200c04863715cba2bbcd079b138
Academic Torrents
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Dataset consists of the data produced by nine cyclists. Data were directly exported from their Strava or Garmin Connect accounts. Data format of sport's activities could be written in GPX or TCX form, which are basically the XML formats adapted to specific purposes. From each dataset, many following information can be obtained: GPS location, elevation, duration, distance, average and maximal heart rate, while some workouts include also data obtained from power meters.
Source: http://academictorrents.com/details/aac04fca4cd3b4dcd580e9018d68fa0647b7d908
Academic Torrents
by Xiang Zhang et al., 2015
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2,909,551 news articles from the SogouCA and SogouCS news corpora, in 5 categories. The number of training samples selected for each class is 90,000 and testing 12,000. Note that the Chinese characters have been converted to Pinyin.
Topic: fastai
Source: http://academictorrents.com/details/b2b847b5e1946b0479baa838a0b0547178e5ebe8
Academic Torrents
by Ariel Ephrat; Inbar Mosseri; Oran Lang; Tali Dekel; Kevin Wilson; Avinatan Hassidim; William T. Freeman; Michael Rubinstein
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AVSpeech is a new, large-scale audio-visual dataset comprising speech video clips with no interfering background noises. The segments are 3-10 seconds long, and in each clip the audible sound in the soundtrack belongs to a single speaking person, visible in the video. In total, the dataset contains roughly 4700 hours* of video segments, from a total of 290k YouTube videos, spanning a wide variety of people, languages and face poses. For more details on how we created the dataset see our paper,...
Topics: speech isolation, lip reading, face detection
Source: http://academictorrents.com/details/b078815ca447a3e4d17e8a2a34f13183ec5dec41
Academic Torrents
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Dataset of two drives from the Udacity office to San Francisco up (and down) El Camino Real, the path of the final drive and where the test sets of Challenges 2 & 3 will take place. Sunny afternoon and evening drives, an attempt was made to stay in the same lane, but obstacles and construction sometimes required lane changes. While this is an official dataset for Challenge 3, it has all required information to be used in Challenge 2. Note, only the center camera feed will be available in...
Source: http://academictorrents.com/details/c9dae89d2e3897e6aa98c0c8196348c444998a2a
Academic Torrents
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This global image map of Mars has a resolution of 256 pixels/degree (scale approximately 231 m/pixel at the equator). The colorized mosaic was completed by NASA AMES which warped the original Viking colorized mosaic and blended over the lastest black/white mosaic. This mosaic, known as Colorized Mars Digital Image Model (MDIM) 2.1. The original MDIM2.1, replaces two earlier mosaics produced by the USGS from the same set of approximately 4600 Viking Orbiter images. The positional accuracy of...
Source: http://academictorrents.com/details/c746fd3441d19772627fd36599dc418241d39452
Academic Torrents
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Source: http://academictorrents.com/details/d01554bd7191c90197f3d0ec90718231c0ba957a
Academic Torrents
by Oliver Batchelor, Richard Green
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Applying deep learning to new domains usually implies a considerable data collection problem. We look at idea of how we can use a partially trained model as an aid to a human annotator. We do this by providing the partially trained model's prediction as a starting point for a human annotator to directly edit. This is demonstrated by applying our ideas to building a small segmentation dataset for labeling trees in a plantation. We also show that by starting with a pre-trained model and...
Topics: segmentation, mask, trees
Source: http://academictorrents.com/details/d8ceccf6d9a57b799003205e0567e630b0ecb90e
Academic Torrents
by Xue, G.; Poldrack, R.A.
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Submitted by picchetti on Thu, 10/06/2011 - 11:48 Subjects were presented with pairs of either words or pseudowords, and made rhyming judgments for each pair. Tasks and Conditions: 001 rhyme verification task 001 Word 002 Pseudoword HideInvestigator Info Investigators: Xue, G. Poldrack, R.A. HideStudy Metadata Sample Size: 13 Scanner Type: TBA HideSharing License: PPDL Accession Number: ds000003
Source: http://academictorrents.com/details/dd259c92c9b28fb7df3d041c9e4a97e20eb0a608
Academic Torrents
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Source: http://academictorrents.com/details/e4dc3c28d6035a64af928dbdcbc8d6cc0d62d39c
Academic Torrents
by Kulkarni, Tejas D; Whitney, William F; Kohli, Pushmeet; Tenenbaum, Josh
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Direct download links for these files are available at https://github.com/willwhitney/dc-ign
Source: http://academictorrents.com/details/dedcdf859969c600e19577029185895160afbf50
Academic Torrents
by Nikolaus Mayer; Eddy Ilg; Philip Hausser; Philipp Fischer; Daniel Cremers; Alexey Dosovitskiy; Thomas Brox
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This torrent contains the "Final pass" images (WebP format) for the "FlyingThings3D" dataset from the CVPR 2016 paper "A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation" by Mayer et al. (https://lmb.informatik.uni-freiburg.de/resources/datasets/SceneFlowDatasets.en.html).
Topics: disparity, scene flow, optical flow, dataset, synthetic
Source: http://academictorrents.com/details/ebecc3be97d60df0691ef4b4103eaf6e2c344a7d
Academic Torrents
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Source: http://academictorrents.com/details/eaf01bd491ea491f7992f840be2805d73863a95e