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» On the Complexity of Function Learning
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143
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ATAL
2009
Springer
15 years 10 months ago
Transfer via soft homomorphisms
The field of transfer learning aims to speed up learning across multiple related tasks by transferring knowledge between source and target tasks. Past work has shown that when th...
Jonathan Sorg, Satinder Singh
129
Voted
CRYPTO
2008
Springer
163views Cryptology» more  CRYPTO 2008»
15 years 5 months ago
Cryptanalysis of the GOST Hash Function
In this article, we analyze the security of the GOST hash function. The GOST hash function, defined in the Russian standard GOST 34.11-94, is an iterated hash function producing a ...
Florian Mendel, Norbert Pramstaller, Christian Rec...
147
Voted
TVCG
2011
146views more  TVCG 2011»
14 years 10 months ago
Visibility Histograms and Visibility-Driven Transfer Functions
—Direct volume rendering is an important tool for visualizing complex data sets. However, in the process of generating 2D images from 3D data, information is lost in the form of ...
Carlos D. Correa, Kwan-Liu Ma
ICC
2008
IEEE
134views Communications» more  ICC 2008»
15 years 10 months ago
Secret Little Functions and Codebook for Protecting Users from Password Theft
—In this paper, we discuss how to prevent users’ passwords from being stolen by adversaries. We propose differentiated security mechanisms in which a user has the freedom to ch...
Yang Xiao, Chung-Chih Li, Ming Lei, Susan V. Vrbsk...
RSP
2008
IEEE
118views Control Systems» more  RSP 2008»
15 years 10 months ago
Functional DIF for Rapid Prototyping
Dataflow formalisms have provided designers of digital signal processing systems with optimizations and guarantees to arrive at quality prototypes quickly. As system complexity in...
William Plishker, Nimish Sane, Mary Kiemb, Kapil A...