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» The complexity of estimating min-entropy
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KDD
2010
ACM
161views Data Mining» more  KDD 2010»
15 years 2 months ago
Mass estimation and its applications
This paper introduces mass estimation—a base modelling mechanism in data mining. It provides the theoretical basis of mass and an efficient method to estimate mass. We show that...
Kai Ming Ting, Guang-Tong Zhou, Fei Tony Liu, Jame...
COLING
2000
15 years 2 months ago
Estimation of Stochastic Attribute-Value Grammars using an Informative Sample
We argue that some of the computational complexity associated with estimation of stochastic attributevalue grammars can be reduced by training upon an informative subset of the fu...
Miles Osborne
99
Voted
UAI
2000
15 years 1 months ago
Adaptive Importance Sampling for Estimation in Structured Domains
Sampling is an important tool for estimating large, complex sums and integrals over highdimensional spaces. For instance, importance sampling has been used as an alternative to ex...
Luis E. Ortiz, Leslie Pack Kaelbling
97
Voted
CEE
2010
70views more  CEE 2010»
15 years 22 days ago
An iterative linearised solution to the sinusoidal parameter estimation problem
Signal processing applications use sinusoidal modelling for speech synthesis, speech coding, and audio coding. Estimation of the model parameters involves non-linear optimisation ...
Jean-Marc Valin, Daniel V. Smith, Christopher Mont...
ICIP
2007
IEEE
16 years 2 months ago
Encoding Parameter Estimation for RDTC Optimized Compression and Streaming of Image-Based Scene Representations
Remote navigation in image-based scene representations requires random access to parts of the compressed reference image data to compose virtual views. The degree of dependencies ...
Ingo Bauermann, Eckehard G. Steinbach