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» Extremal Problems of Information Combining
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VLSISP
2011
358views Database» more  VLSISP 2011»
15 years 1 months ago
Accelerating Machine-Learning Algorithms on FPGAs using Pattern-Based Decomposition
Machine-learning algorithms are employed in a wide variety of applications to extract useful information from data sets, and many are known to suffer from superlinear increases in ...
Karthik Nagarajan, Brian Holland, Alan D. George, ...
ISSTA
2012
ACM
13 years 8 months ago
ViewPoints: differential string analysis for discovering client- and server-side input validation inconsistencies
Since web applications are easily accessible, and often store a large amount of sensitive user information, they are a common target for attackers. In particular, attacks that foc...
Muath Alkhalaf, Shauvik Roy Choudhary, Mattia Fazz...

Publication
253views
15 years 4 months ago
Multisensory Oddity Detection as Bayesian Inference
A key goal for the perceptual system is to optimally combine information from all the senses that may be available in order to develop the most accurate and unified picture possi...
Timothy Hospedales and Sethu Vijayakumar
ICPR
2008
IEEE
16 years 7 months ago
3D face recognition using sparse spherical representations
This paper addresses the problem of 3D face recognition using spherical sparse representations. We first propose a fully automated registration process that permits to align the 3...
Effrosini Kokiopoulou, Ivana Tosic, Pascal Frossar...
MICCAI
2004
Springer
16 years 7 months ago
Vessel Segmentation Using a Shape Driven Flow
Abstract. We present a segmentation method for vessels using an implicit deformable model with a soft shape prior. Blood vessels are challenging structures to segment due to their ...
Delphine Nain, Anthony J. Yezzi, Greg Turk