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ICML
2010
IEEE
15 years 2 months ago
COFFIN: A Computational Framework for Linear SVMs
In a variety of applications, kernel machines such as Support Vector Machines (SVMs) have been used with great success often delivering stateof-the-art results. Using the kernel t...
Sören Sonnenburg, Vojtech Franc
ETRA
2008
ACM
235views Biometrics» more  ETRA 2008»
15 years 3 months ago
Using semantic content as cues for better scanpath prediction
Under natural viewing conditions, human observers use shifts in gaze to allocate processing resources to subsets of the visual input. There are many computational models that try ...
Moran Cerf, E. Paxon Frady, Christof Koch
KDD
2010
ACM
272views Data Mining» more  KDD 2010»
15 years 5 months ago
Beyond heuristics: learning to classify vulnerabilities and predict exploits
The security demands on modern system administration are enormous and getting worse. Chief among these demands, administrators must monitor the continual ongoing disclosure of sof...
Mehran Bozorgi, Lawrence K. Saul, Stefan Savage, G...
DSP
2008
14 years 12 months ago
On statistical approaches to target silhouette classification in difficult conditions
In this paper we present a methodical evaluation of the performance of a new and two traditional approaches to automatic target recognition (ATR) based on silhouette representatio...
Conrad Sanderson, Danny Gibbins, Stephen Searle
CCS
2010
ACM
15 years 1 months ago
TASTY: tool for automating secure two-party computations
Secure two-party computation allows two untrusting parties to jointly compute an arbitrary function on their respective private inputs while revealing no information beyond the ou...
Wilko Henecka, Stefan Kögl, Ahmad-Reza Sadegh...