visual関連のビデオ 1 - 10(248562件中)
visual の5分以上の動画visual関連のタグ
jrock visual kei band
7:01
One of their latest singles.
タグ:jrock kei
投稿日: September 10, 2006, 2:56 pm
閲覧数: 179390
投票: 4.80(５点満点) 1038 人の平均
ralph nader uses visual props
5:22
http://cspanjunkie.org/ October 14, 2008 MSNBC
タグ:ralph nader bailout economy recovery wallstreet
投稿日: October 15, 2008, 5:24 pm
閲覧数: 961
投票: 4.90(５点満点) 89 人の平均
visual thinking #1
2:48
Kermit gets a lesson in visual thinking from Harry the Hipster.
タグ:muppets jim henson
投稿日: March 1, 2008, 6:29 am
閲覧数: 22331
投票: 5.00(５点満点) 66 人の平均
orthodox church - a visual journey
4:31
This video presents some sights and sounds of the Orthodox Church.
タグ:orthodox christian
投稿日: August 26, 2006, 12:04 pm
閲覧数: 106662
投票: 4.80(５点満点) 327 人の平均
visual perception with deep learning
57:25
Google Tech Talks April, 9 2008 ABSTRACT A long-term goal of Machine Learning research is to solve highy complex "intelligent" tasks, such as visual perception auditory perception, and language understanding. To reach that goal, the ML community must solve two problems: the Deep Learning Problem, and the Partition Function Problem. There is considerable theoretical and empirical evidence that complex tasks, such as invariant object recognition in vision, require "deep" architectures, composed of multiple layers of trainable non-linear modules. The Deep Learning Problem is related to the difficulty of training such deep architectures. Several methods have recently been proposed to train (or pre-train) deep architectures in an unsupervised fashion. Each layer of the deep architecture is composed of an encoder which computes a feature vector from the input, and a decoder which reconstructs the input from the features. A large number of such layers can be stacked and trained sequentially, thereby learning a deep hierarchy of features with increasing levels of abstraction. The training of each layer can be seen as shaping an energy landscape with low valleys around the training samples and high plateaus everywhere else. Forming these high plateaus constitute the so-called Partition Function problem. A particular class of methods for deep energy-based unsupervised learning will be described that solves the Partition Function problem by imposing sparsity constraints on the features. The method can learn multiple levels of sparse and overcomplete representations of data. When applied to natural image patches, the method produces hierarchies of filters similar to those found in the mammalian visual cortex. An application to category-level object recognition with invariance to pose and illumination will be described (with a live demo). Another application to vision-based navigation for off-road mobile robots will be described (with videos). The system autonomously learns to discriminate obstacles from traversable areas at long range. This is joint work with Y-Lan Boureau, Sumit Chopra, Raia Hadsell, Fu-Jie Huang, Koray Kavakcuoglu, and Marc'Aurelio Ranzato. Speaker: Yann Le Cun Computational and Biological Learning Lab, Courant Institute of Mathematical Sciences, New York University.
タグ:google techtalks techtalk engedu talk talks
投稿日: April 10, 2008, 6:11 pm
閲覧数: 6332
投票: 4.70(５点満点) 13 人の平均
visual thinking #2
3:48
A 1966 remake of "Visual Thinking", with Kermit taking the part of Harry the Hipster, and Grump replacing Kermit as the square.
タグ:muppets jim henson jerry juhl
投稿日: March 1, 2008, 6:20 am
閲覧数: 19720
投票: 4.80(５点満点) 37 人の平均
mobile visual search engine on apple iphone
4:06
Imagine you could search the Internet just by taking a picture of something, such snapping a picture of a music CD to look up reviews and listen to the tracks, instantly getting information on a product featured in a magazine, or looking up recommend places to visit by taking a picture of a famous landmark. Millions of mobile phone users can "visually search" the Internet today with the help of this revolutionary search engine powered by Evolution Robotics' Visual Pattern Recognition technology. (ViPR®) Evolution is developing a number of applications for visual search, and we came up with this quick demo for the iPhone to showcase some of the the possibilities . For more information, please visit www.evolution.com.
タグ:mobile search evolution robotics camera
投稿日: April 17, 2008, 2:31 pm
閲覧数: 120317
投票: 4.40(５点満点) 66 人の平均
visual wiki: a new metaphor for knowledge access and management
33:01
Google Tech Talks June 4, 2008 ABSTRACT Successful knowledge management results in a competitive advantage in today's information- and knowledge-rich industries. The elaboration and integration of emerging web-based tools and services has proven suitable for collecting and organizing intellectual property. Due to an increasing information overload, information and knowledge visualization have become an effective method for representing complex bodies of knowledge in an alternative fashion by using visual languages. The focus of this research is the development of a "Visual Wiki", which combines the notion of a textual and a visual representation of knowledge. A Visual Wiki model has been proposed which provides a unified framework to design and discuss different approaches. Three prototypes of Visual Wikis have been implemented and evaluated according to the improvements to knowledge management applications that they facilitate. This is joint work with Christian Hirsch and John Grundy
タグ:google techtalks techtalk engedu talk talks
投稿日: June 6, 2008, 6:12 pm
閲覧数: 6002
投票: 4.40(５点満点) 10 人の平均
visual kei report on 3sat
6:11
Visual Report broadcast 05/2005 on 3SAT (Kulturzeit) Live's: Deadman Languane: German (Kulturzeit)
タグ:kei german deadman dir en
投稿日: March 3, 2006, 4:28 pm
閲覧数: 80205
投票: 4.20(５点満点) 289 人の平均
アリス nine. - visual shock (10.05.2007)
6:46
alice nine. in Visual Shock Performance from NHK (28.04.2007)- open air[birth in white rose]: Velvet, WHITE PRAYER, heisei juushichinen shichigatsu nanoka, shunkashuutou . Tora's new look is a little weird ... that half yellow head was stupid idea and short hair makes him older...
タグ:alice nine shock アリス九號 nhk
投稿日: May 13, 2007, 8:30 pm
閲覧数: 78134
投票: 4.90(５点満点) 144 人の平均
次のページ