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» A Modelling Framework for Functional Imagination
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148
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INTERSPEECH
2010
14 years 10 months ago
Boosted mixture learning of Gaussian mixture HMMs for speech recognition
In this paper, we propose a novel boosted mixture learning (BML) framework for Gaussian mixture HMMs in speech recognition. BML is an incremental method to learn mixture models fo...
Jun Du, Yu Hu, Hui Jiang
BMVC
2010
15 years 1 months ago
StyP-Boost: A Bilinear Boosting Algorithm for Learning Style-Parameterized Classifiers
We introduce a novel bilinear boosting algorithm, which extends the multi-class boosting framework of JointBoost to optimize a bilinear objective function. This allows style param...
Jonathan Warrell, Philip H. S. Torr, Simon Prince
177
Voted
HUMAN
2003
Springer
15 years 8 months ago
Dynamic Deployment of Software Defined Radio Components for Mobile Wireless Internet Applications
Abstract. Software Defined Radio (SDR) is a key enabling technology for mobile wireless Internet. SDR represents unique opportunity to provide Internet connectivity to handheld dev...
Saehwa Kim, Jamison Masse, Seongsoo Hong
151
Voted
ECCV
2004
Springer
16 years 5 months ago
Region-Based Segmentation on Evolving Surfaces with Application to 3D Reconstruction of Shape and Piecewise Constant Radiance
Abstract. We consider the problem of estimating the shape and radiance of a scene from a calibrated set of images under the assumption that the scene is Lambertian and its radiance...
Hailin Jin, Anthony J. Yezzi, Stefano Soatto
136
Voted
ICSM
2005
IEEE
15 years 9 months ago
Quality Driven Software Migration of Procedural Code to Object-Oriented Design
In the context of software maintenance, legacy software systems are continuously re-engineered in order to correct errors, provide new functionality, or port them into modern plat...
Ying Zou