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» Regularization Methods for Additive Models
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129
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RT
2000
Springer
15 years 6 months ago
Direct Ray Tracing of Displacement Mapped Triangles
We present an algorithm for ray tracing displacement maps that requires no additional storage over the base model. Displacement maps are rarely used in ray tracing due to the cost...
Brian E. Smits, Peter Shirley, Michael M. Stark
146
Voted
MICCAI
2005
Springer
16 years 3 months ago
Cross Entropy: A New Solver for Markov Random Field Modeling and Applications to Medical Image Segmentation
This paper introduces a novel solver, namely cross entropy (CE), into the MRF theory for medical image segmentation. The solver, which is based on the theory of rare event simulati...
Jue Wu, Albert C. S. Chung
67
Voted
ICASSP
2011
IEEE
14 years 6 months ago
Detection of sinusoidal signals in noise by probabilistic modelling of the spectral magnitude shape and phase continuity
This paper presents a method for detection of sinusoidal signals corrupted by an additive noise in the short-time Fourier domain. The proposed method is based on probabilistic mod...
Peter Jancovic, Münevver Köküer
145
Voted
ML
2010
ACM
127views Machine Learning» more  ML 2010»
15 years 1 months ago
Stability and model selection in k-means clustering
Abstract Clustering Stability methods are a family of widely used model selection techniques for data clustering. Their unifying theme is that an appropriate model should result in...
Ohad Shamir, Naftali Tishby
IFM
2010
Springer
190views Formal Methods» more  IFM 2010»
15 years 1 months ago
On Model Checking Techniques for Randomized Distributed Systems
Abstract. The automata-based model checking approach for randomized distributed systems relies on an operational interleaving semantics of the system by means of a Markov decision ...
Christel Baier