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sendai id:sendai

datasetã«é–¢ã™ã‚‹sendaiã®ãƒ–ãƒƒã‚¯ãƒžãƒ¼ã‚¯ (4)

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Python (Scipy) ã«ã‚ˆã‚‹ç¥žçµŒæ´»å‹•ãƒ‡ãƒ¼ã‚¿è§£æžå…¥é–€ãƒ»ãã®ï¼‘ | .mat ãƒ•ã‚¡ã‚¤ãƒ«ã®èªã¿è¾¼ã¿ã‹ã‚‰ãƒ‡ãƒ¼ã‚¿ã®ãƒ—ãƒãƒƒãƒˆã¾ã§ - Out of the loop, into the blank
å‰æã¨ã—ã¦ã€Python, iPython, NumPy, SciPy, Matplotlib ã¯ã‚¤ãƒ³ã‚¹ãƒˆãƒ¼ãƒ«æ¸ˆã¿ã€Neurotycho ã®ãƒ‡ãƒ¼ã‚¿ã¯ãƒ€ã‚¦ãƒ³ãƒãƒ¼ãƒ‰æ¸ˆã¿ã§ã‚ã‚‹ã¨ã™ã‚‹ã€‚ SciPyã®èµ·å‹• ã¾ãšã¯ã‚·ã‚§ãƒ«ãƒ—ãƒãƒ³ãƒ—ãƒˆã‹ã‚‰ % ipython -pylab ã§ iPython(Python ã®å¯¾è©±çš„ã‚·ã‚§ãƒ«)ã‚’èµ·å‹•ã€‚"-pylab" ã‚’ä»˜ã‘ã‚‹ã“ã¨ã§ã€MATLAB é¢¨ã®ãƒ‡ãƒ¼ã‚¿ãƒ—ãƒãƒƒãƒˆã®ã‚³ãƒžãƒ³ãƒ‰ã‚’ã‚µãƒãƒ¼ãƒˆã™ã‚‹ãƒ‘ãƒƒã‚±ãƒ¼ã‚¸(Matplotlib) ã‚’çµ„ã¿è¾¼ã‚“ã ãƒ¢ãƒ¼ãƒ‰ã«ãªã‚‹ã€‚ ç«‹ã¡ä¸ŠãŒã£ãŸ iPython ã®ãƒ—ãƒãƒ³ãƒ—ãƒˆã‹ã‚‰ In [*]: from numpy import * In [*]: from scipy import * ã§ NumPy, SciPy ã®ãƒ¢ã‚¸ãƒ¥ãƒ¼ãƒ«ã‚’ã™ã¹ã¦ã‚¤ãƒ³ãƒãƒ¼ãƒˆã€‚ã“ã‚Œã§ã²ã¨é€šã‚Šã®æ©Ÿèƒ½ãŒä½¿ãˆã‚‹ã‚ˆã†ã«ãªã‚‹ã€‚ ãƒ‡ãƒ¼ã‚¿ã®èªã¿è¾¼ã¿ MATLABå½¢å¼ã®ãƒ‡ãƒ¼ã‚¿(.mat)ã‚’èªã¿è¾¼ã‚€
sendai 2017/02/08
SciPy

dataset

numpy
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2014 Stereo Datasets
Dataset description Each dataset consists of 2 views taken under several different illuminations and exposures. The files are organized as follows: SCENE-{perfect,imperfect}/ -- each scene comes with perfect and imperfect calibration (see paper) ambient/ -- directory of all input views under ambient lighting L{1,2,...}/ -- different lighting conditions im0e{0,1,2,...}.png -- left view under differ
sendai 2016/10/12
â€œStereo datasetsâ€ç ”ç©¶ãƒã‚¿

dataset

Image

The Stereo
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DataSet - æ©Ÿæ¢°å¦ç¿’ã®ã€Œæœ±é·ºã®æœWikiã€
ãƒ†ã‚¹ãƒˆç”¨ãƒ‡ãƒ¼ã‚¿é›†åˆâ€ ã‚¢ãƒ«ã‚´ãƒªã‚ºãƒ ã®æ¯”è¼ƒæ¤œè¨¼ã«åˆ©ç”¨ã§ãã‚‹ãƒ†ã‚¹ãƒˆç”¨ãƒ‡ãƒ¼ã‚¿ã«ã¤ã„ã¦ã¾ã¨ã‚ã¾ã—ã‚‡ã†ï¼Ž ID ã¯ ibis ã§ãƒ‘ã‚¹ãƒ¯ãƒ¼ãƒ‰ã¯ VC æ¬¡å…ƒã® V ã®ãƒ•ãƒ«ã‚¹ãƒšãƒ«ã§ã™(é ã ã‘å¤§æ–‡å—)
sendai 2016/09/08
dataset

machine learning

data mining

Python
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UCI æ©Ÿæ¢°å¦ç¿’ãƒªãƒã‚¸ãƒˆãƒªã®ãƒ‡ãƒ¼ã‚¿ã‚»ãƒƒãƒˆä¸€è¦§ | ãƒˆãƒ©ã‚¤ãƒ•ã‚£ãƒ¼ãƒ«ã‚º
UCI machine learning repositoryã§å…¬é–‹ã•ã‚Œã¦ã„ã‚‹ãƒ‡ãƒ¼ã‚¿ã‚»ãƒƒãƒˆã‚’ä¸€è¦§ã«ã¾ã¨ã‚ã€æ©Ÿæ¢°ç¿»è¨³ã‚’äº¤ãˆã¦æ—¥æœ¬èªžåŒ–ã—æŽ²è¼‰ã—ã¾ã™ã€‚ãƒ‡ãƒ¼ã‚¿ã‚»ãƒƒãƒˆã®ã‚µãƒ³ãƒ—ãƒ«ã‚’æŽ¢ã™å‚è€ƒã«ã—ã¦ã„ãŸã ã‘ã‚Œã°å¹¸ã„ã§ã™ã€‚ Causal-DiscoveryMultivariate UbiqLog (smartphone lifelogging) Causal-Discovery | Multivariate | 9780000 Instances UbiqLog is the smartphone lifelogging tool that runs on the smartphone of 35 users for about 2 months. UbiqLogã¯ã€35äººã®ãƒ¦ãƒ¼ã‚¶ãƒ¼ã®ã‚¹ãƒžãƒ¼ãƒˆãƒ•ã‚©ãƒ³ä¸Šã§ç´„2ãƒ¶æœˆé–“å‹•ä½œã™ã‚‹ã‚¹ãƒžãƒ¼ãƒˆãƒ•ã‚©ãƒ³ã®ãƒ©ã‚¤ãƒ•ãƒã‚°ãƒ„ãƒ¼ãƒ«ã§ã™ã€‚ SIFT10M Causal-Discovery
sendai 2016/08/22
repository

æ©Ÿæ¢°å¦ç¿’

dataset

machine learning
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2014 Stereo Datasets

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