Items of some interest:

These are my recent Pin​board​.in links:

  • Kinet­icJS — HTML5 Can­vas JavaScript Library Framework

    “Greet­ings fel­low webo­nauts! Kinet­icJS is an HTML5 Can­vas JavaScript library that extends the 2d con­text by enabling high per­for­mance path detec­tion and pixel detec­tion for desk­top and mobile appli­ca­tions. You can draw things on the stage and then add event lis­ten­ers to them, move them, scale them, and rotate them inde­pen­dently from other shapes to sup­port high per­for­mance ani­ma­tions and tran­si­tions.  Served hot with a side of awesomeness. ”

    javascript ani­ma­tion graphic-​​design html5
  • Tim Brown — More Per­fect Typog­ra­phy on Vimeo

    At long last, design­ers can use real fonts on the web. But what now? Where do we go from here? Tim Brown has been study­ing type on the web for seven years, and has lots of ideas to share. In this talk, Tim will guide you through using typo­graphic tools and per­spec­tives that will change the way you design web­sites. Typog­ra­phy is an ancient art and craft; we are merely its lat­est prac­ti­tion­ers. By look­ing to our tra­di­tion for guid­ance, we might once more attain our finest typo­graphic achieve­ments in this new medium.

    via:trek typog­ra­phy graphic-​​design type­face video

  • cultural-​​assumptions academic-​​culture wry-​​smile
  • BOOKTRYST: Amer­i­can Rare Book Trade Ads From 1902, Part III

    Part III of an absolutely fas­ci­nat­ing nanohis­tory series at Book­Tryst, exam­in­ing each of the ads in a 1900s bookman’s mag­a­zine. “On August 10, 1915  Ralph Ran­dolph Adams filed for, and on July 10, 1923 was granted a U.S. Patent for “Radioac­tive Spray Mate­r­ial.“ “The object of this inven­tion is to pro­vide a radio-​​active sub­stance for the pur­pose of stim­u­lat­ing plant growth. A fur­ther object is to pro­vide a radio-​​active sub­stance for the pre­ven­tion and destruc­tion of insects, lar­vae, eggs, bac­te­ria and fungi which are inju­ri­ous to plants or ani­mals. A fur­ther object is to pro­vide a mate­r­ial hav­ing these prop­er­ties which can be effi­ciently applied by spray­ing, and which will adhere to the parts of plants above ground…or to the fur, feath­ers or skin of ani­mals [our empha­sis] which are both­ered by pests…(U.S. Patent No. 1461340). In short, Adams invented a radioac­tive insect-​​killer to spray on the leather he used for bind­ing as a preser­v­a­tive to pre­vent pests from harm­ing his work. Adams “Vien­nese” bind­ings prior to 1910 do not, pre­sum­ably, require use of a Geiger counter, and, hav­ing one from 1902 recently pass through my hands, I am relieved. It is unknown to this writer whether Adams’ post-​​patent bind­ings glow in the dark.”

    books nanohis­tory dig­i­ti­za­tion cul­ture

Items of some interest:

These are my recent Pin​board​.in links:

Items of some interest…

These are my recent Pin​board​.in links:

  • Pro­gres­sives and the Ron Paul fal­lac­ies — Salon​.com

    The fal­lacy in this rea­son­ing is glar­ing. The can­di­date sup­ported by pro­gres­sives — Pres­i­dent Obama — him­self holds heinous views on a slew of crit­i­cal issues and him­self has done heinous things with the power he has been vested. He has slaugh­tered civil­ians — Mus­lim chil­dren by the dozens — not once or twice, but con­tin­u­ously in numer­ous nations with drones, cluster bombs and other forms of attack. He has sought to over­turn a global ban on clus­ter bombs. He has insti­tu­tion­al­ized the power of Pres­i­dents — in secret and with no checks — to tar­get Amer­i­can cit­i­zens for assassination-​​by-​​CIA, far from any bat­tle­field. He has waged an unprece­dented war against whistle­blow­ers, the pro­tec­tion of which was once a lib­eral shib­bo­leth. He ren­dered per­ma­nently irrel­e­vant the War Pow­ers Res­o­lu­tion, a crown jewel in the list of post-​​Vietnam lib­eral accom­plish­ments, and thus enshrined the power of Pres­i­dents to wage war even in the face of a Con­gres­sional vote against it. His obses­sion with secrecy is so extreme that it has become darkly laugh­able in its man­i­fes­ta­tions, and he even worked to amend the Free­dom of Infor­ma­tion Act (another crown jewel of lib­eral leg­isla­tive suc­cesses) when com­pli­ance became inconvenient.

    pol­i­tics party-​​politics-​​in-​​particular cognitive-​​dissonance cultural-​​assumptions dialog-it-ain’t
  • A mod­est pro­posal to give Free Soft­ware equal legal stand­ing as pro­pri­etary. | Carlo Piana :: Law is Freedom ::

    Laws are more often than not an annoy­ance, despite their aim to improve the legal frame­work in any given field. Free Soft­ware (AKA “Open Source”) has thrieved despite the absence of any legal recog­ni­tion by the law, if not in spite of rules that clearly are shaped around pro­pri­etary soft­ware. In many juris­dic­tions it has passed the enforce­abil­ity test. So, no laws seem nec­es­sary to make it work. Yet, can some legal prin­ci­ple be put for­ward, and included in some laws, to help?

    via:Glyn-Moody licens­ing law con­tracts modest-​​proposals

  • to-​​read to-​​keep-​​in-​​mind lists movies books comix

  • to-​​keep-​​in-​​mind movies lists
  • [1109.3248] Recon­struc­tion of sequen­tial data with den­sity models

    We intro­duce the prob­lem of recon­struct­ing a sequence of mul­ti­di­men­sional real vec­tors where some of the data are miss­ing. This prob­lem con­tains regres­sion and map­ping inver­sion as par­tic­u­lar cases where the pat­tern of miss­ing data is inde­pen­dent of the sequence index. The prob­lem is hard because it involves pos­si­bly mul­ti­val­ued map­pings at each vec­tor in the sequence, where the miss­ing vari­ables can take more than one value given the present vari­ables; and the set of miss­ing vari­ables can vary from one vec­tor to the next. To solve this prob­lem, we pro­pose an algo­rithm based on two redun­dancy assump­tions: vec­tor redun­dancy (the data live in a low-​​dimensional man­i­fold), so that the present vari­ables con­strain the miss­ing ones; and sequence redun­dancy (e.g. con­ti­nu­ity), so that con­sec­u­tive vec­tors con­strain each other. We cap­ture the low-​​dimensional nature of the data in a prob­a­bilis­tic way with a joint den­sity model, here the gen­er­a­tive topo­graphic map­ping, which results in a Gauss­ian mix­ture. Can­di­date recon­struc­tions at each vec­tor are obtained as all the modes of the con­di­tional dis­tri­b­u­tion of miss­ing vari­ables given present vari­ables. The recon­structed sequence is obtained by min­imis­ing a global con­straint, here the sequence length, by dynamic pro­gram­ming. We present exper­i­men­tal results for a toy prob­lem and for inverse kine­mat­ics of a robot arm.

    inverse-​​problems sta­tis­tics algo­rithms learning-​​from-​​data nudge-​​targets
  • [1110.5063] Recov­er­ing a Clipped Sig­nal in Sparseland

    In many data acqui­si­tion sys­tems it is com­mon to observe sig­nals whose ampli­tudes have been clipped. We present two new algo­rithms for recov­er­ing a clipped sig­nal by lever­ag­ing the model assump­tion that the under­ly­ing sig­nal is sparse in the fre­quency domain. Both algo­rithms employ ideas com­monly used in the field of Com­pres­sive Sens­ing; the first is a mod­i­fied ver­sion of Reweighted $ell_​1$ min­i­miza­tion, and the sec­ond is a mod­i­fi­ca­tion of a sim­ple greedy algo­rithm known as Triv­ial Pur­suit. An empir­i­cal inves­ti­ga­tion shows that both approaches can recover sig­nals with sig­nif­i­cant lev­els of clipping

    signal-​​processing infer­ence compressive-​​sensing algo­rithms nudge-​​targets
  • [1112.2316] Complexity-​​entropy causal­ity plane: a use­ful approach for dis­tin­guish­ing songs

    Nowa­days we are often faced with huge data­bases result­ing from the rapid growth of data stor­age tech­nolo­gies. This is par­tic­u­larly true when deal­ing with music data­bases. In this con­text, it is essen­tial to have tech­niques and tools able to dis­crim­i­nate prop­er­ties from these mas­sive sets. In this work, we report on a sta­tis­ti­cal analy­sis of more than ten thou­sand songs aim­ing to obtain a com­plex­ity hier­ar­chy. Our approach is based on the esti­ma­tion of the per­mu­ta­tion entropy com­bined with an inten­sive com­plex­ity mea­sure, build­ing up the complexity-​​entropy causal­ity plane. The results obtained indi­cate that this rep­re­sen­ta­tion space is very promis­ing to dis­crim­i­nate songs as well as to allow a rel­a­tive quan­ti­ta­tive com­par­i­son among songs. Addi­tion­ally, we believe that the here-​​reported method may be applied in prac­ti­cal sit­u­a­tions since it is sim­ple, robust and has a fast numer­i­cal implementation.

    signal-​​processing clas­si­fi­ca­tion data-​​analysis clus­ter­ing rep­re­sen­ta­tion music nudge-​​targets
  • [1112.6178] A gen­eral frame­work for online audio source separation

    We con­sider the prob­lem of online audio source sep­a­ra­tion. Exist­ing algo­rithms adopt either a slid­ing block approach or a sto­chas­tic gra­di­ent approach, which is faster but less accu­rate. Also, they rely either on spa­tial cues or on spec­tral cues and can­not sep­a­rate cer­tain mix­tures. In this paper, we design a gen­eral online audio source sep­a­ra­tion frame­work that com­bines both approaches and both types of cues. The model para­me­ters are esti­mated in the Max­i­mum Like­li­hood (ML) sense using a Gen­er­alised Expec­ta­tion Max­imi­sa­tion (GEM) algo­rithm with mul­ti­plica­tive updates. The sep­a­ra­tion per­for­mance is eval­u­ated as a func­tion of the block size and the step size and com­pared to that of an offline algorithm.

    signal-​​processing audio-​​segmentation sta­tis­tics algo­rithms meta­heuris­tics nudge-​​targets

Items of some interest…

These are my recent Pin​board​.in links: