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TIP
2008
133views more  TIP 2008»
15 years 1 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»
15 years 1 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 7 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 7 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 7 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