Saw VI movie clips: http://j.mp/17HFRkS BUY THE MOVIE: http://j.mp/17HFUxc Don’t miss the HOTTEST NEW TRAILERS: http://bit.ly/1u2y6pr CLIP DESCRIPTION: Mark Hoffman (Costas Mandylor) waits anxiously while Sachi (Ginger Ruriko Busch) works with a voice recognition program to determine Seth Baxter’s killer. FILM DESCRIPTION: Lionsgate’s money-making franchise is back with this sixth entry in the Saw film series. The editor for all of the previous films, Kevin Greutert, makes his directorial debut with this picture, once again written by Feast writers, Marcus Dunstan and Patrick Melton. CREDITS: TM & © Lionsgate (2009) Cast: Costas Mandylor, Mark Rolston, Athena Karkanis, Ginger Ruriko Busch Director: Kevin Greutert Producers: Troy Begnaud, Peter Block, Mark Burg, Daniel J. Heffner, Kaleigh Kavanagh, Oren Koules, Stacey Testro, James Wan, Leigh Whannell, Jason Constantine, Gregg Hoffman Screenwriters: Patrick Melton, Marcus Dunstan WHO ARE WE? The MOVIECLIPS channel is the largest collection of licensed movie clips on the web. Here you will find unforgettable moments, scenes and lines from all your favorite films. Made by movie fans, for movie fans. SUBSCRIBE TO OUR MOVIE CHANNELS: MOVIECLIPS: http://bit.ly/1u2yaWd ComingSoon: http://bit.ly/1DVpgtR Indie & Film Festivals: http://bit.ly/1wbkfYg Hero Central: http://bit.ly/1AMUZwv Extras: http://bit.ly/1u431fr Classic Trailers: http://bit.ly/1u43jDe Pop-Up Trailers: http://bit.ly/1z7EtZR Movie News: http://bit.ly/1C3Ncd2 Movie Games: http://bit.ly/1ygDV13 Fandango: http://bit.ly/1Bl79ye Fandango FrontRunners: http://bit.ly/1CggQfC HIT US UP: Facebook: http://on.fb.me/1y8M8ax Twitter: http://bit.ly/1ghOWmt Pinterest: http://bit.ly/14wL9De Tumblr: http://bit.ly/1vUwhH7
Supervector Dimension Reduction for Efficient Speaker Age Estimation Based on the ASS presents a novel dimension reduction method which aims to improve the accuracy and the efficiency of speaker’s age estimation systems based on speech signal. Two different age estimation approaches were studied and implemented; the first, age-group classification, and the second, precise age estimation using regression. These two approaches use the Gaussian mixture model (GMM) supervectors as features for a support vector machine (SVM) model. When a radial basis function (RBF) kernel is used, the accuracy is improved compared to using a linear kernel; however, the computation complexity is more sensitive to the feature dimension. Classic dimension reduction methods like principal component analysis (PCA) and linear discriminant analysis (LDA) tend to eliminate the relevant feature information and cannot always be applied without damaging the model’s accuracy.