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» Using a Non-prior Training Active Feature Model
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138
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ICASSP
2011
IEEE
14 years 8 months ago
Discriminative duration modeling for speech recognition with segmental conditional random fields
This paper describes a new approach to modeling duration for LVCSR using SCARF, a toolkit for speech recognition with segmental conditional random fields. We utilize SCARF’s abi...
Justine T. Kao, Geoffrey Zweig, Patrick Nguyen
115
Voted
VAMOS
2007
Springer
15 years 10 months ago
Requirements Modelling and Design Notations for Software Product Lines
Although feature modelling is a frequently used approach to the task of modelling commonality and variability within product lines, there is currently no standard modelling notati...
T. John Brown, Rachel Gawley, Ivor T. A. Spence, P...
178
Voted
MLMI
2004
Springer
15 years 9 months ago
Shallow Dialogue Processing Using Machine Learning Algorithms (or Not)
This paper presents a shallow dialogue analysis model, aimed at human-human dialogues in the context of staff or business meetings. Four components of the model are defined, and ...
Andrei Popescu-Belis, Alexander Clark, Maria Georg...
CP
2007
Springer
15 years 10 months ago
Hierarchical Hardness Models for SAT
Abstract. Empirical hardness models are a recent approach for studying NP-hard problems. They predict the runtime of an instance using efficiently computable features. Previous res...
Lin Xu, Holger H. Hoos, Kevin Leyton-Brown
DAGM
2009
Springer
15 years 10 months ago
Pedestrian Detection by Probabilistic Component Assembly
We present a novel pedestrian detection system based on probabilistic component assembly. A part-based model is proposed which uses three parts consisting of head-shoulder, torso a...
Martin Rapus, Stefan Munder, Gregory Baratoff, Joa...