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ICANN
2010
Springer
15 years 7 months ago
Empirical Analysis of the Divergence of Gibbs Sampling Based Learning Algorithms for Restricted Boltzmann Machines
Abstract. Learning algorithms relying on Gibbs sampling based stochastic approximations of the log-likelihood gradient have become a common way to train Restricted Boltzmann Machin...
Asja Fischer, Christian Igel
ICMCS
2010
IEEE
178views Multimedia» more  ICMCS 2010»
15 years 7 months ago
Optimal configuration of hash table based multimedia fingerprint databases using weak bits
The increasingly large amount of digital multimedia content has created a need for technologies to search and identify multimedia files. Multimedia fingerprinting has been widely ...
Claus Bauer, Regunathan Radhakrishnan, Wenyu Jiang
ICML
2010
IEEE
15 years 7 months ago
High-Performance Semi-Supervised Learning using Discriminatively Constrained Generative Models
We develop a semi-supervised learning method that constrains the posterior distribution of latent variables under a generative model to satisfy a rich set of feature expectation c...
Gregory Druck, Andrew McCallum
EICS
2010
ACM
15 years 6 months ago
Seamless integration of heterogeneous UI components
Component-based software engineering is a paradigm aiming at better ways to reuse existing code and to distribute work across teams. Integrating UI components developed with diffe...
Heiko Paulheim, Atila Erdogan
WISEC
2010
ACM
15 years 6 months ago
Attacks on physical-layer identification
Physical-layer identification of wireless devices, commonly referred to as Radio Frequency (RF) fingerprinting, is the process of identifying a device based on transmission imperf...
Boris Danev, Heinrich Luecken, Srdjan Capkun, Kari...
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