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takadoã®ãƒ–ãƒƒã‚¯ãƒžãƒ¼ã‚¯ (11,746)

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ã¯ã¦ãƒ–iPhoneãƒ»Androidã‚¢ãƒ—ãƒªã®é–‹ç™ºãƒ—ãƒã‚»ã‚¹ - ninjinkun's diary
ã“ã®ä¸‰ãƒ¶æœˆã§ã¯ã¦ãªãƒ–ãƒƒã‚¯ãƒžãƒ¼ã‚¯iPhoneã‚¢ãƒ—ãƒªã®æ–°ãƒãƒ¼ã‚¸ãƒ§ãƒ³ã¨Androidã‚¢ãƒ—ãƒªã‚’é–‹ç™ºã—ã¦ãã¾ã—ãŸã€‚ ä¸¡æ–¹å…±æ‹…å½“ã¯ã‚¨ãƒ³ã‚¸ãƒ‹ã‚¢id:ninjinkunã¨ãƒ‡ã‚¶ã‚¤ãƒŠãƒ¼id:kudakurageã€ç·åˆãƒ‡ã‚£ãƒ¬ã‚¯ã‚·ãƒ§ãƒ³id:nagayamaã§ã™ã€‚åŒã˜é–‹ç™ºè€…ãŒiPhoneã‚¢ãƒ—ãƒªã¨Androidã‚¢ãƒ—ãƒªä¸¡æ–¹ã‚’ä½œã£ãŸäº‹ä¾‹ã¨ã—ã¦ã€ãªã‹ãªã‹é¢ç™½ã„ã®ã§ã¯ãªã„ã‹ã¨æ€ã„ã¾ã™ã€‚é–‹ç™ºæœŸé–“ã¯ã¡ã‚‡ã†ã©ãã‚Œãžã‚Œä¸€ãƒµæœˆåŠãšã¤ã§ã—ãŸã€‚ è‡ªåˆ†ã«ã¨ã£ã¦ã‚‚ãƒ–ã‚¯ãƒžãƒãƒ¼ãƒ ã«ç§»å‹•ã—ã¦ã‹ã‚‰åˆã‚ã¦ã®å¤§ããªä»•äº‹ã ã£ãŸã®ã§ã€ä¸¡æ–¹å…±æ€ã„å…¥ã‚ŒãŒã‚ã‚‹ãƒ—ãƒãƒ€ã‚¯ãƒˆã§ã™ã€‚é–‹ç™ºè©±ã¨ä¸€ç·’ã«ã€ã‚¹ãƒžãƒ¼ãƒˆãƒ•ã‚©ãƒ³ã‚¢ãƒ—ãƒªã‚’ä½œã‚‹éš›ã®æµã‚Œã‚„ã€æ°—ã‚’ä»˜ã‘ã¦ã„ã‚‹ã“ã¨ãªã©ã‚’ã¾ã¨ã‚ã‚ˆã†ã¨æ€ã„ã¾ã™ã€‚ï¼ˆé•·ã„ã§ã™ï¼‰ é–‹ç™ºãƒ—ãƒã‚»ã‚¹ iPhoneã‚‚Andoirdã‚‚é–‹ç™ºã®æµã‚Œã¯åŸºæœ¬çš„ã«ä¸€ç·’ã§ã€ä»¥ä¸‹ã®ã‚ˆã†ãªæµã‚Œã«ãªã‚Šã¾ã™ã€‚ æ©Ÿèƒ½ã®æ¤œè¨Ž UIã®æ¤œè¨Ž å®Ÿè£… ã–ã£ãã‚Šä¸¦ã¹ãŸã ã‘ã§ã¯Webã‚µãƒ¼ãƒ“ã‚¹é–‹ç™ºã¨å¤‰ã‚ã‚Š
takado 2011/02/14
iphone

android

development

sbm
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PomodoroÂ® Technique - Time Management Method
About The PomodoroÂ® Technique Do you feel overwhelmed by work, tend to procrastinate, struggle with concentration or have probl ems meeting demanding deadlines? If you answered yes to any of these questions, you need the Pomodoro Technique! The PomodoroÂ® Technique is an easy and fun way to get the most out of time management. Turn time into a valuable ally to accomplish tasks while keeping track of
takado 2011/02/14
gtd
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æ˜”è©±ã‚’ãƒ©ã‚¤ãƒ•ãƒãƒƒã‚¯é¢¨ã®ã‚¿ã‚¤ãƒˆãƒ«ã«ã™ã‚‹
æž— é›„å¸ @yaginome æ˜”è©±ã‚’ãƒ©ã‚¤ãƒ•ãƒãƒƒã‚¯é¢¨ã®ã‚¿ã‚¤ãƒˆãƒ«ã«ã™ã‚‹ã€‚ã€Œä½Žã‚³ã‚¹ãƒˆã§ã§é‡Žç”Ÿå‹•ç‰©ã‚’æ‰‹ãªã¥ã‘ã‚‹3ã¤ã®æ–¹æ³•ã€ï¼ˆæ¡ƒå¤ªéƒŽï¼‰ã€Œæž¯ã‚Œã¦ã„ã‚‹æœ¨ã«ä¸€çž¬ã§èŠ±ã‚’å’²ã›ã‚‹ç”·æ€§ãŒã™ã”ã„ï¼ˆå‹•ç”»ã‚ã‚Šï¼‰ã€ï¼ˆèŠ±å’²ã‹ã˜ã„ã•ã‚“ï¼‰ 2011-02-12 10:43:55 tikuo @tikuo2007 æ¡ƒå¤ªéƒŽã¯ã€ŒãŸã£ãŸä¸€ã¤ã®å†´ãˆãŸã‚„ã‚Šæ–¹ï¼ˆã‚ãƒ“ãƒ€ãƒ³ã‚´ï¼‰ã€ã§ã™ãªãƒ¼ã€‚ RT @yaginome: æ˜”è©±ã‚’ãƒ©ã‚¤ãƒ•ãƒãƒƒã‚¯é¢¨ã®ã‚¿ã‚¤ãƒˆãƒ«ã«ã™ã‚‹ã€‚ã€Œä½Žã‚³ã‚¹ãƒˆã§ã§é‡Žç”Ÿå‹•ç‰©ã‚’æ‰‹ãªã¥ã‘ã‚‹3ã¤ã®æ–¹æ³•ã€ï¼ˆæ¡ƒå¤ªéƒŽï¼‰ã€Œæž¯ã‚Œã¦ã„ã‚‹æœ¨ã«ä¸€çž¬ã§èŠ±ã‚’å’²ã›ã‚‹ç”·æ€§ãŒã™ã”ã„ï¼ˆå‹•ç”»ã‚ã‚Šï¼‰ã€ï¼ˆèŠ±å’²ã‹ã˜ã„ã•ã‚“ï¼‰ 2011-02-12 10:48:12
takado 2011/02/13
twitter

neta
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Gmailå„ªå…ˆãƒˆãƒ¬ã‚¤è«–æ–‡ãƒ¡ãƒ¢ - kisa12012ã®æ—¥è¨˜
å…ƒè«–æ–‡ â€œThe Learning Behind Gmail Priority Inboxâ€, Douglas Aberdeen, Ondrey Pacovsky, Andrew Slater, LCCC : NIPS 2010 Workshop on Learning on Cores, Clusters and Clouds. http://research.google.com/pubs/archive/36955.pdf Gmail Priority Inboxã«ã¯PAãŒåˆ©ç”¨ã•ã‚Œã¦ã„ã‚‹ã¨è©±é¡Œã«ãªã£ã¦ã„ã‚‹ã®ã§ï¼Œèªã‚“ã§ã¿ã¾ã—ãŸï¼Ž ç°¡å˜ã«ã¾ã¨ã‚ PA + transfer learning + logistic model ãƒ©ãƒ³ã‚ãƒ³ã‚°å¦ç¿’ã§ã¯ï¼ŒthresholdãŒéžå¸¸ã«é‡è¦ãªåƒãã‚’æŒã¤ Gmail Priority Inboxã¯ã‚ãªãŸã®ãƒ¡ãƒ¼ãƒ«å‡¦ç†ã®æ™‚é–“ã‚’6%çŸç¸®ã—ã¦ãã‚Œã¾ã™ 1.The
takado 2011/02/13
machinelearning

algorithm

paper

google
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ç¾Žã—ã„ãƒ‡ã‚¶ã‚¤ãƒ³ã®ã‚¤ãƒ³ãƒ•ã‚©ã‚°ãƒ©ãƒ•ã‚£ãƒƒã‚¯ã‚’tumblrã§ã‚¢ãƒ¼ã‚«ã‚¤ãƒ–ã—ã¦ã„ã‚‹ãƒ»We Love Datavis - ã‹ã¡ã³ã¨.net
è³‡æ–™ã¨ã—ã¦ã€‚ç¶ºéº—ãªãƒ‡ã‚¶ã‚¤ãƒ³ã® ã‚¤ãƒ³ãƒ•ã‚©ã‚°ãƒ©ãƒ•ã‚£ãƒƒã‚¯ã‚’tumblrã§ åŽé›†ã—ã¦ã„ã‚‹We Love Datavis ã®ã”ç´¹ä»‹ã€‚ã“ã†ã„ã†ã‚®ãƒ£ãƒ©ãƒªãƒ¼ã¯ ã‚ã¾ã‚Šè¦‹ã‹ã‘ãªã„ã§ã™ãã€‚ä½¿ã† æ©Ÿä¼šãŒã‚ã‚‹ã‹ã¯åˆ¥ã«ã—ã¦ã€å°‘ã— è¦‹å…¥ã£ã¦ã—ã¾ã£ãŸã®ã§ãƒ¡ãƒ¢ã€‚ ã‚·ãƒ³ãƒ—ãƒ«ã§è¦‹ã‚„ã™ã„ã§ã™ã€‚ã¾ãŸã€ç”»åƒã®è¡¨ç¤ºã‚‚æ—©ãå‡ºæ¥ã‚‹ã‚ˆã†ã«å·¥å¤«ã•ã‚Œã¦ã„ã‚‹ã®ã§ã‚¹ãƒˆãƒ¬ã‚¹ã‚‚å°‘ãªãè¦‹ã‚Œã‚‹ã®ã‚‚ã„ã„ã§ã™ãã€‚ å°å¥‡éº—ã«ã¾ã¨ã¾ã£ã¦ã„ã¾ã™ã€‚ ç”»åƒã‚’ã‚¯ãƒªãƒƒã‚¯ã™ã‚‹ã¨å…¨ä½“ã®ç”»åƒãŒå‘¼ã³å‡ºã•ã‚Œã¾ã™ã€‚ãƒšãƒ¼ã‚¸å¤‰æ›´ä»¥å¤–ã¯æŽ¨ç§»ç„¡ã—ã§è¦‹ã‚Œã¾ã™ã€‚ ã‚¤ãƒ³ãƒ•ã‚©ã‚°ãƒ©ãƒ•ã‚£ãƒƒã‚¯ã¯å¯è¦–æ€§ã‚’é«˜ã‚ã‚‹ç›®çš„ã‚‚ã‚ã‚‹ã®ã§è‰²ä½¿ã„ãªã©ã‚‚å‚è€ƒã«ãªã‚Šã¾ã™ãã€‚ç¢ºèªã—ãŸã ã‘ã§ã‚‚90ãƒšãƒ¼ã‚¸ä»¥ä¸Šã‚ã‚‹ã®ã§çµæ§‹ãªè¦‹ã”ãŸãˆã§ã¯ãªã„ã‹ã¨æ€ã„ã¾ã™ã€‚ We Love Datavis
takado 2011/02/13
visualization
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æ©Ÿæ¢°å¦ç¿’è¶…å…¥é–€II ã€œGmailã®å„ªå…ˆãƒˆãƒ¬ã‚¤ã§ã‚‚ä½¿ã£ã¦ã„ã‚‹PAæ³•ã‚’30åˆ†ã§ç¿’å¾—ã—ã‚ˆã†ï¼ã€œ - EchizenBlog-Zwei
æœ€è¿‘ã®è«–æ–‡ã§ The Learning Behind Gmail Priority Inbox D.Aberdeen, O.Pacovsky & A.Slater ã¨ã„ã†ã®ãŒã‚ã‚‹ã€‚ã“ã‚Œã¯Gmailã®å„ªå…ˆãƒˆãƒ¬ã‚¤ã§ä½¿ã£ã¦ã„ã‚‹æ©Ÿæ¢°å¦ç¿’ã®ã‚¢ãƒ«ã‚´ãƒªã‚ºãƒ ã«ã¤ã„ã¦è§£èª¬ã—ãŸã‚‚ã®ã€‚ã¨ã„ã†ã¨é›£ã—ãã†ãªå°è±¡ãŒã‚ã‚‹ãŒã€ã“ã®è«–æ–‡ã§ç´¹ä»‹ã•ã‚Œã¦ã„ã‚‹Passive-Aggressiveã¨ã„ã†æ‰‹æ³•ã¯å®Ÿè£…ãŒã¨ã¦ã‚‚ç°¡å˜ã€‚ãªã®ã§ä»Šå›žã¯ã“ã‚Œã«ã¤ã„ã¦è§£èª¬ã™ã‚‹ã‚ˆã€‚ å‚è€ƒè³‡æ–™: Gmail - å„ªå…ˆãƒˆãƒ¬ã‚¤ Online Passive-Aggressive Algorithms K.Crammer et al. The Learning Behind Gmail Priority Inboxèªã‚“ã ãƒ¡ãƒ¢ - ç³žãƒãƒƒãƒˆå¼æ…¶ ã‚ã‹ã‚Šã‚„ã™ã„æ—¥æœ¬èªžè§£èª¬ æ©Ÿæ¢°å¦ç¿’è¶…å…¥é–€ ã€œãã‚ãã‚ãƒŠã‚¤ãƒ¼ãƒ–ãƒ™ã‚¤ã‚ºã«ã¤ã„ã¦ã²ã¨ã“ã¨è¨€ã£ã¦ãŠãã‹ã€œ - EchizenBl
takado 2011/02/13
machinelearning

algorithm

paper
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Julia Map
Julia set html 5 renderer.
takado 2011/02/13
math
ãƒªãƒ³ã‚¯
DAL: Dual augmented Lagrangian method for efficient sparse learning/reconstruction
What is DAL? DAL is an efficient and flexibible toolbox for solving the following optimization probl em. where A (m x n) is a design matrix, f is a loss function, and c is a measure of sparsity. DAL can handle your favorite (convex, smooth) loss functions. DAL can handle several "sparsity" measures in an unified way. Currently L1 and grouped L1 measures are supported. DAL is efficient when mâ‰ªn (m:
takado 2011/02/13
matlab

machinelearning

software
ãƒªãƒ³ã‚¯
http://www.ibis.t.u-tokyo.ac.jp/RyotaTomioka/Notes/DerivingDual
takado 2011/02/13
academic

optimization
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æ¤œç´¢ã™ã‚‹ã¨ã¯ã“ã†ã„ã†ã“ã¨ã ï¼ã‚¤ãƒ³ãƒ†ãƒ«CEOã¨å‰ç«‹è…ºãŒã‚“ã®1800æ—¥
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takado 2011/02/11
book

life
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Francis Bach - INRIA - ENS - PSL
Bertille Follain, co-advised with Umut Simsekli Marc Lambert, co-advised with SilvÃ¨re Bonnabel Ivan Lerner, co-advised with Anita Burgun et Antoine Neuraz Simon Martin, co-advised with Giulio Biroli CÃ©line Moucer, co-advised with Adrien Taylor Anant Raj, co-advised with Maxim Raginsky Corbinian Schlosser, co-advised with Alessandro Rudi Lawrence Stewart, co-advised with Jean-Philippe Vert Alumni M
takado 2011/02/10
optimization

researcher
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NIPS2010ã«ãŠã‘ã‚‹ç™ºè¡¨è«–æ–‡ã«è¦‹ã‚‹ã€æ©Ÿæ¢°å¦ç¿’æœ€å‰ç·š | gihyo.jp
ãªãŠã€åŠ£ãƒ¢ã‚¸ãƒ¥ãƒ©ãƒ¼æ€§ã«ã¤ã„ã¦ã•ã‚‰ã«çŸ¥ã‚ŠãŸã„æ–¹ã¯ã€ãƒãƒ¥ãƒ¼ãƒˆãƒªã‚¢ãƒ«ï¼»3ï¼½ãŒå‚è€ƒã«ãªã‚Šã¾ã™ã€‚ æ˜¨å¹´ã®NIPSã§ã®å‹•å‘ ãã‚Œã§ã¯ã€æ˜¨å¹´ã®NIPSã§ã®å‹•å‘ã‚’è¦‹ã¦ã¿ã¾ã—ã‚‡ã†ã€‚ Bachï¼»4ï¼½ã¯ã€LâˆžãƒŽãƒ«ãƒ ãŒåŠ£ãƒ¢ã‚¸ãƒ¥ãƒ©ãƒ¼é–¢æ•°ã®ãƒãƒ´ã‚¡ãƒ¼ã‚¹æ‹¡å¼µã‹ã‚‰å°Žå‡ºã§ãã‚‹ã“ã¨ã‚’ç¤ºã™ã“ã¨ã«ã‚ˆã‚Š, åŠ£ãƒ¢ã‚¸ãƒ¥ãƒ©ãƒ¼æ€§ã¨ã‚¹ãƒ‘ãƒ¼ã‚¹æ€§ã¨ã®é–¢ä¿‚ã‚’ç¤ºã—ã¾ã—ãŸã€‚ã•ã‚‰ã«, ã“ã®æ´žå¯Ÿã‹ã‚‰æ•™å¸«ã‚ã‚Šå¦ç¿’ã§ç”¨ã„ã‚‹ã“ã¨ãŒã§ãã‚‹æ–°ã—ã„3ã¤ã®ãƒŽãƒ«ãƒ ã‚’ææ¡ˆã—ã¾ã—ãŸã€‚ã¾ãŸã€å‹¾é…æ³•ã‚„è¿‘æŽ¥æ³•ãŒåŠ£ãƒ¢ã‚¸ãƒ¥ãƒ©ãƒ¼é–¢æ•°æœ€é©åŒ–ã«ä½¿ãˆã‚‹ã“ã¨ã‚’ç¤ºã—, å®Ÿé¨“ã«ã‚ˆã‚ŠL1,ã¨L2ãƒŽãƒ«ãƒ ã‚’ç”¨ã„ã‚‹ã‚ˆã‚Šç²¾åº¦ãŒè‰¯ã„ã“ã¨ã‚’ç¤ºã—ã¾ã—ãŸã€‚ Stobbe and Krauseï¼»5ï¼½ã¯ã€åŠ£ãƒ¢ã‚¸ãƒ¥ãƒ©ãƒ¼é–¢æ•°ã‚’å‡¹é–¢æ•°ã®å’Œã¨ã—ã¦åˆ†è§£ã§ãã‚‹æ–°ã—ã„ã‚¯ãƒ©ã‚¹ï¼ˆdecomposable submodular functionï¼‰ã‚’å®šç¾©ã—, ã‚«ãƒƒãƒˆå•é¡Œ, ãƒžãƒ«ã‚³ãƒ•ç¢ºçŽ‡å ´ã®æœ€é©åŒ–, é›†åˆè¢«è¦†å•é¡Œãªã©ãŒãã®æ–°ã—ã„ã‚¯ãƒ©ã‚¹ã®æœ€å°åŒ–å•
takado 2011/02/10
academic

optimization
ãƒªãƒ³ã‚¯
cryptosystem.org - Using MATLAB for numerical solutions to the discrete Poisson equation
takado 2011/02/10
gallery('poisson',m-2);

image

matlab
ãƒªãƒ³ã‚¯
http://www.cmla.ens-cachan.fr/Membres/morel.html
takado 2011/02/10
image

researcher
ãƒªãƒ³ã‚¯
Naoki Saito's Home Page
takado 2011/02/10
image

researcher

math
ãƒªãƒ³ã‚¯
ã‚¹ã‚³ã¡ã‚ƒã‚“ã‚º ã¡ã‚ƒã‚“ãã‚‹
ã€ã‚¹ã‚³ã¡ã‚ƒã‚“ã‚ºã€€ã¡ã‚ƒã‚“ãã‚‹ã€‘ï½žScottishFold Kitty Channelï½žæˆ‘ãŒå®¶ã®ã‚¹ã‚³ãƒ†ã‚£ãƒƒã‚·ãƒ¥ãƒ•ã‚©ãƒ¼ãƒ«ãƒ‰é”ã®å‹•ç”»é›†ã§ã™ã€‚å†ç”Ÿãƒªã‚¹ãƒˆãƒ¡ãƒ‹ãƒ¥ãƒ¼â‘ ï½žâ‘¤æ¡ˆå†…â‘ ã‚¹ã‚³ã¡ã‚ƒã‚“ã‚ºâ‘¡ãƒ ãƒ¼ã¡ã‚ƒã‚“å‹•ç”»â‘¢ãƒŸãƒ¼ã‚³å§ã•ã‚“å‹•ç”»â‘£ã‚¯ãƒªãƒ¥ãƒŸå§ã•ã‚“å‹•ç”»â‘¤ãƒ¢ã‚³å‹•ç”»
takado 2011/02/10
youtube
ãƒªãƒ³ã‚¯
Jason Salavon
0 Comments TrackBack URI http://unodos.jp/wp/2010/12/24/jason-salavon/trackback/ Post a Comment Name* Mail* (will not be published) Website
takado 2011/02/09
art

image
ãƒªãƒ³ã‚¯
SIAM Journal on Imaging Sciences (SIIMS)
SIAMÂ Journal on Imaging SciencesÂ (SIIMS) covers all areas of imaging sciences, broadly interpreted. It includes image formation, image processing, image analysis, image interpretation and understanding, computer graphics and visualization, imaging-related machine learning,Â and inverse probl ems in imaging; leading to applications to diverse areas in science, medicine, engineering, and other fields.
takado 2011/02/09
image

academic

book
ãƒªãƒ³ã‚¯
Michael NG
takado 2011/02/09
image

researcher
ãƒªãƒ³ã‚¯
Publications
takado 2011/02/09
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