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TIP
2008
133views more  TIP 2008»
14 years 11 months ago
A Recursive Model-Reduction Method for Approximate Inference in Gaussian Markov Random Fields
This paper presents recursive cavity modeling--a principled, tractable approach to approximate, near-optimal inference for large Gauss-Markov random fields. The main idea is to su...
Jason K. Johnson, Alan S. Willsky
CN
2006
58views more  CN 2006»
14 years 11 months ago
Dynamically extending the Corral with native code for high-speed packet processing
By combining the Open Kernel Environment, a Click-like software model known as Corral and basic concepts of active networking, we allow third-party code to control the code organi...
Herbert Bos, Bart Samwel, Ilja Booij
ACSC
2007
IEEE
15 years 6 months ago
Exploring Human Judgement of Digital Imagery
Statistical learning methods are commonly applied in content-based video and image retrieval. Such methods require a large number of examples which are usually obtained through a ...
Timo Volkmer, James A. Thom, Seyed M. M. Tahaghogh...
ECOOP
2005
Springer
15 years 5 months ago
Prototypes with Multiple Dispatch: An Expressive and Dynamic Object Model
Two object-oriented programming language paradigms— dynamic, prototype-based languages and multi-method languages— provide orthogonal benefits to software engineers. These two...
Lee Salzman, Jonathan Aldrich
ICCV
2005
IEEE
15 years 5 months ago
Bayesian Body Localization Using Mixture of Nonlinear Shape Models
We present a 2D model-based approach to localizing human body in images viewed from arbitrary and unknown angles. The central component is a statistical shape representation of th...
Jiayong Zhang, Robert T. Collins, Yanxi Liu