Sydney’s hippest and gayest neighbourhood is also home to its most interesting dining and bar scene. For the most part it’s more gritty than pretty, and actual sights are thin on the ground, but there’s still plenty to do and see here, especially after dark. Rows of Victorian terrace houses are a reminder of its working class roots.
Australian Museum (Click here)
Porteño (Click here)
Universal (Click here)
Longrain (Click here)
Bar H (Click here)
House (Click here)
Pocket (Click here)
Hinky Dinks (Click here)
Shady Pines Saloon (Click here)
Beresford Hotel (Click here)
Oxford Hotel (Click here)
Train Apart from the very eastern fringe of Surry Hills, a train station is never more than a kilometre away. Exit at Museum for the blocks around Oxford St; Central for the rest of Surry Hills; and Kings Cross for the northern reaches of Darlinghurst.
Bus Numerous buses traverse Cleveland, Crown, Albion, Oxford, Liverpool and Flinders Sts.
Spend most of the morning wandering around the Australian Museum
(Click here) and then take a long, leisurely walk to lunch at House
(Click here). To get there, follow the edge of Hyde Park along College St, continue down Wentworth and then veer left on to Elizabeth.
Herbert Bay, Tinne Tuytelaars, and Luc Van Gool. SURF: Speeded up robust features. In European Conference on Computer Vision, 2006.
Yuri Boykov, Olga Veksler, and Ramin Zabih. Fast approximate energy minimization via graph cuts. IEEE Transactions on Pattern Analysis and Machine Intelligence, 23:2001, 2001.
Gary Bradski and Adrian Kaehler. Learning OpenCV. OReilly Media Inc., 2008.
Martin Byrd. An optical Sudoku solver. In Swedish Symposium on Image Analysis, SSBA. http://www.maths.lth.se/matematiklth/personal/byrod/papers/sudokuocr.pdf, 2007.
Antonin Chambolle. Total variation minimization and a class of binary mrf models. In Energy Minimization Methods in Computer Vision and Pattern Recognition, Lecture Notes in Computer Science, pages 136152. Springer Berlin / Heidelberg, 2005.
T. Chan and L. Vese. Active contours without edges. IEEE Trans. Image Processing, 10(2):266277, 2001.
Chih-Chung Chang and Chih-Jen Lin. LIBSVM: a library for support vector machines, 2001. Software available at http://www.csie.ntu.edu.tw/~cjlin/libsvm.
Dim the house lights, raise the curtains, and cue the applause sign, it's show time at last. With the spotlight on you and your pitch, the last thing you need is a complicated set of controls for moving through your slides. Happily, Keynote makes it dead easy to advance through your slides using the keyboard or a remote control.
In fact, Keynote gives you three ways to run the show: you can use your own power, set the slideshow to run automatically, or give your audience control via hyperlinks. This chapter covers all three.
To get started, open the Keynote document, and select the first slide in the show using the slide navigator or by choosing SlideGo toFirst Slide. (You can also select a different slide if you'd like to start somewhere in the middle of your presentation.) Now start the show: Click the toolbar's Play button, choose PlayPlay Slideshow, or press -Option-P. Your first slide flickers onto the screen, and you're on.
You can set up your slideshow to begin playing automatically as soon as you open the document, not a bad idea for slideshows you've finished editing. Open the Document Inspector, and turn on the "Automatically play upon open" option. That way, Keynote opens directly to the first slide and launches into your slideshow, completely bypassing the editing screenthe "man behind the curtain" whom it's best to keep tucked away from your audience. To stop the show and bring up the editing view, press the Escape key, Q (for quit), or period [.].