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» Quantization of Sparse Representations
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ACCV
2009
Springer
14 years 2 months ago
Levels of Details for Gaussian Mixture Models
Mixtures of Gaussians are a crucial statistical modeling tool at the heart of many challenging applications in computer vision and machine learning. In this paper, we first descri...
Vincent Garcia, Frank Nielsen, Richard Nock
IWIA
2003
IEEE
14 years 1 months ago
Stochastic Protocol Modeling for Anomaly Based Network Intrusion Detection
1 A new method for detecting anomalies in the usage of protocols in computer networks is presented in this work. The proposed methodology is applied to TCP and disposed in two step...
Juan M. Estévez-Tapiador, Pedro Garcia-Teod...
ICPR
2002
IEEE
14 years 21 days ago
Hierarchical Interpretation of Human Activities Using Competitive Learning
In this paper we describe a method of learning hierarchical representations for describing and recognizing gestures expressed as one and two arm movements using competitive learni...
Harry Wechsler, Zoran Duric, Fayin Li
NAA
2000
Springer
97views Mathematics» more  NAA 2000»
13 years 11 months ago
Nested-Dissection Orderings for Sparse LU with Partial Pivoting
We describe the implementation and performance of a novel fill-minimization ordering technique for sparse LU factorization with partial pivoting. The technique was proposed by Gilb...
Igor Brainman, Sivan Toledo
3DPVT
2004
IEEE
316views Visualization» more  3DPVT 2004»
13 years 11 months ago
A Statistical Method for Robust 3D Surface Reconstruction from Sparse Data
Abstract-General information about a class of objects, such as human faces or teeth, can help to solve the otherwise ill-posed problem of reconstructing a complete surface from spa...
Volker Blanz, Albert Mehl, Thomas Vetter, Hans-Pet...