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» Graphical Models: Foundations of Neural Computation
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ICANN
2007
Springer
14 years 1 months ago
Structure Learning with Nonparametric Decomposable Models
Abstract. We present a novel approach to structure learning for graphical models. By using nonparametric estimates to model clique densities in decomposable models, both discrete a...
Anton Schwaighofer, Mathäus Dejori, Volker Tr...
BIRTHDAY
2003
Springer
14 years 26 days ago
A Formal Basis for Reasoning on Programmable QoS
Abstract. The explicit management of Quality of Service (QoS) of network connectivity, such as, e.g., working cost, transaction support, and security, is a key requirement for the ...
Rocco De Nicola, Gian Luigi Ferrari, Ugo Montanari...
SIGGRAPH
2010
ACM
14 years 3 days ago
Discrete scale axis representations for 3D geometry
This paper addresses the fundamental problem of computing stable medial representations of 3D shapes. We propose a spatially adaptive classification of geometric features that yi...
Balint Miklos, Joachim Giesen, Mark Pauly
AAAI
2007
13 years 10 months ago
On the Prospects for Building a Working Model of the Visual Cortex
Human visual capability has remained largely beyond the reach of engineered systems despite intensive study and considerable progress in problem understanding, algorithms and comp...
Thomas Dean, Glenn Carroll, Richard Washington
RT
2005
Springer
14 years 1 months ago
Perceptually Based Tone Mapping of High Dynamic Range Image Streams
This paper presents a new perceptually based tone mapping operator that represents scene visibility under timevarying, high dynamic range conditions. The operator is based on a ne...
Piti Irawan, James A. Ferwerda, Stephen R. Marschn...