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ENVSOFT
2000
70views more  ENVSOFT 2000»
15 years 6 months ago
Modeling soil pile bioremediation
A model is presented for the analysis of bioremediation applied to an ex situ soil pile. The approach is based on the remediation of a pile containing the contaminated soil, which...
Fehmidakhatun A. Mesania, Aaron A. Jennings
CORR
2012
Springer
187views Education» more  CORR 2012»
14 years 2 months ago
Sequential Inference for Latent Force Models
Latent force models (LFMs) are hybrid models combining mechanistic principles with non-parametric components. In this article, we shall show how LFMs can be equivalently formulate...
Jouni Hartikainen, Simo Särkkä
INFORMATICALT
2010
151views more  INFORMATICALT 2010»
15 years 5 months ago
The Use of Group Delay Features of Linear Prediction Model for Speaker Recognition
Abstract. New text independent speaker identification method is presented. Phase spectrum of allpole linear prediction (LP) model is used to derive the speech features. The featur...
Algirdas Bastys, Andrej Kisel, Bernardas Salna
ASIASIM
2004
Springer
16 years 6 days ago
Intuitive Control of Dynamic Simulation Using Improved Implicit Constraint Enforcement
Geometric constraints are imperative components of many dynamic simulation systems to effectively control the behavior of simulated objects. In this paper we present an improved fi...
Min Hong, Samuel W. J. Welch, Min-Hyung Choi
NIPS
1998
15 years 8 months ago
Approximate Learning of Dynamic Models
Inference is a key component in learning probabilistic models from partially observable data. When learning temporal models, each of the many inference phases requires a complete ...
Xavier Boyen, Daphne Koller