Duration : 0:2:10

[youtube rAQPi6xmo2k]

Duration : 0:2:40

[youtube 5zogiR8p1Q0]

Duration : 0:2:56

[youtube togJ3k0fjH8]

Duration : 0:2:10

[youtube uhQU16Hvh60]

Duration : 0:2:7

[youtube oBlCB0BpMDU]

Duration : 0:0:24

[youtube WMJKt_H_ZLs]

GO TO http://ptlgaming.com/index.php

SUBSCRIBE To me and legend! its the little yellow button.
Edited by NO SC0P3 L3G3ND. Sub to him here –
http://www.youtube.com/NOSC0P3L3G3ND
Well it’s finally here.
Quote from NSL -
‘This is the first montage that i’ve properly edited and i tried not to go over the top so there aren’t any flashy effects, instead i’ve concentrated more on the syncing which i found hard because the clips were lagging in vegas but i think it turned out pretty good.’

Thanks matt (NSL) without your editing this would have been lame.
.::SPECIAL THANKS::.
My Loser friend BRYAN!!!
Z F34R Z
Unreal Sn1p3r
E IB o IN i X
vG I DYN0M1T3
SiiK SiiNz
II Dom1n4tor II
zzirGrizz
LoneWeller
ishownomercyi
BYE Misiu
my little pwNii lol
NsF Trickz
ix R4MBO xi
Syndekit
o B r i z z y x
i IL uZ i o INz
xF r ii En D Ly
METALLICA XI
zXProPheTXz
GODS I GUARDIAN
Yoblacksheep
I3ENJY
zlliMillz ( MILLZY!!!)

Songs:
Life is Beautiful-sixx am
Reeducation- Rise Against
Lolita’s Medicine- The Legion of Doom

Copyright disclaimer–
“Copyright Disclaimer Under Section 107 of the Copyright Act 1976, allowance is made for “fair use” for purposes such as criticism, comment, news reporting, teaching, scholarship, and research. Fair use is a use permitted by copyright statute that might otherwise be infringing. Non-profit, educational or personal use tips the balance in favor of fair use.”

HONORS AWARDED FOR THIS VID:
#20 – Most Discussed (Today) – Gaming
#25 – Most Responded (Today) – Gaming
#86 – Most Responded (This Week) – Gaming
#8 – Most Viewed (Today) – Gaming – United Kingdom
#5 – Most Viewed (Today) – Gaming – Ireland
#62 – Most Viewed (Today) – Gaming
#99 – Most Viewed (Today) – Gaming – Netherlands
#62 – Top Favorited (Today)
#3 – Top Favorited (Today) – Gaming
#44 – Top Favorited (This Week) – Gaming
#15 – Top Rated (Today) – Gaming
#92 – Most Viewed (This Week) – Gaming – United Kingdom
#85 – Most Viewed (This Week) – Gaming – Ireland
#25 – Top Favorited (This Week) – Gaming
#66 – Top Rated (This Week) – Gaming
#50 – Most Discussed (This Week) – Gaming
#75 – Most Viewed (This Week) – Gaming – United Kingdom
#89 – Most Viewed (This Week) – Gaming – Ireland
#19 – Top Favorited (This Week) – Gaming

Duration : 0:10:39

[youtube 9kC93B6O4lg]

ABSTRACT

We explore a formal and computational characterization of real world regularity using discrete symmetry groups (hierarchy) as a theoretical basis, embedded in a well-defined Bayesian framework. Our existing work on “A Computational Model for Periodic Pattern Perception Based on Frieze and Wallpaper Groups” (TPAMI 2004), ‘Near-regular texture analysis and manipulation’ (SGIGRAPH 2004), and “A Lattice-based MRF Model for Dynamic Near-regular Texture Tracking” (PAMI 2007) already demonstrate the power of such a formalization on a diverse set of real problems, such as texture analysis, synthesis, tracking, perception and manipulation in terms of regularity. Symmetry and symmetry group detection from real world data turns out to be a very challenging problem that has been puzzling computer vision researchers for the past 40 years. Our novel formalization will lead the way to a more robust and comprehensive algorithmic treatment of the whole regularity spectrum, from regular (perfect symmetry), near-regular (deviations from symmetry), to various types of irregularities. The recent results of the proposed methodology will be illustrated in this talk by several real world applications such as deformed lattice detection, rotation and glide-reflection detection, gait recognition, grid-cell clustering, symmetry of dance, automatic geo-tagging and image de-fencing.

Speaker: Yanxi Liu
Yanxi Liu received her B.S. degree in physics/electrical engineering and her Ph.D. degree in computer science for group theory applications in robotics (UMass Amherst). Her postdoctoral training was performed in LIFIA/IMAG, Grenoble, France. She spent one year at DIMACS (NSF center for Discrete Mathematics and Theoretical Computer Science) with an NSF research-education fellowship award. Before joining the Departments of Computer Science and Engineering and Electrical Engineering at Penn State in Fall 2006 as a tenured faculty member, Dr. Liu had been with the faculty of the Robotics Institute of Carnegie Mellon University, and affiliated with the Machine Learning Department of CMU. She is also an adjunct associate professor in the Radiology Department of University of Pittsburgh. Dr. Liu is the co-director of the Laboratory for Perception, Action, and Cognition (LPAC) at Penn State (http://vision.cse.psu.edu/). Dr. Liu’s research interests span a wide range of applications in computer vision and pattern recognition, computer graphics, medical image analysis and robotics, with two main research themes: computational (a)symmetry and discriminative subspace learning. With her colleagues, Dr. Liu won first place in the clinical science category and the best paper overall at the Annual Conference of Plastic and Reconstructive Surgeons for their work on “Measurement of Asymmetry in Persons with Facial Paralysis.” Dr. Liu chaired the First International Workshop on Computer Vision for Biomedical Image Applications (CVBIA) in conjunction with ICCV 2005 in Beijing, and co-edited the book: “CVBIA: Current Techniques and Future Trends,” Springer-Verlag LNCS 3765. Dr. Liu serves as an area chair/reviewer/committee member/panelist for all major journals, conferences, and NIH/NSF panels in computer vision, computer graphics, pattern recognition, biomedical image analysis, and machine learning. She has served as a chartered NIH study section member. She is a senior member of IEEE and the IEEE Computer Society.

Duration : 1:14:13

[youtube 62nr29_zGZg]

Duration : 0:1:42

[youtube DFdiV8OYuRM]

Karthik holds a bachelor’s degree from the Indian Institute of Technology at Kharagpur (IIT-KGP). He did his graduate research in a collaborative project among University of Cincinnati (UC), Massachusetts Institute of Technology (MIT), Harvard University (DEAS) and Bangladesh University of Engineering and Technology (BUET), under a US National Science Foundation (NSF) research award.

Email : karthik@loksatta.org
Phone Number : +91-98660-17112 (Cell)
+91-40-2323-1818/2829/3637 (Office)

Duration : 0:8:28

[youtube oj5AbS1ifnA]