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ICML
2007
IEEE
14 years 8 months ago
Large-scale RLSC learning without agony
The advances in kernel-based learning necessitate the study on solving a large-scale non-sparse positive definite linear system. To provide a deterministic approach, recent resear...
Wenye Li, Kin-Hong Lee, Kwong-Sak Leung
ICASSP
2008
IEEE
14 years 2 months ago
Confidence scores for acoustic model adaptation
This paper focuses on confidence scores for use in acoustic model adaptation. Frame-based confidence estimates are used in linear transform (CMLLR and MLLR) and MAP adaptation. ...
Christian Gollan, Michiel Bacchiani
BROADNETS
2006
IEEE
14 years 2 months ago
Design and Dimensioning of a Novel composite-star WDM Network with TDM Channel Partitioning
— This paper presents the design and dimensioning optimization of a novel optical network structure, called the Petaweb, having a total capacity of several Pb/s (1015 bit/s). Its...
Stefano Secci, Brunilde Sansò
IWCM
2004
Springer
14 years 1 months ago
Optimal Filters for Extended Optical Flow
Estimation of optical flow and physically motivated brightness changes can be formulated as parameter estimation in linear models. Accuracy of this estimation heavily depends on t...
Hanno Scharr
ITS
2000
Springer
135views Multimedia» more  ITS 2000»
13 years 11 months ago
Analyzing and Generating Mathematical Models: An Algebra II Cognitive Tutor Design Study
This paper reports a formative analysis of a Math Modeling Tool in the Algebra II Cognitive Tutor. This tutor is designed to support algebraic reasoning about real world problems. ...
Albert T. Corbett, Megan McLaughlin, K. Christine ...