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ICANN
2007
Springer
16 years 22 days ago
Sparse Least Squares Support Vector Regressors Trained in the Reduced Empirical Feature Space
Abstract. In this paper we discuss sparse least squares support vector regressors (sparse LS SVRs) defined in the reduced empirical feature space, which is a subspace of mapped tr...
Shigeo Abe, Kenta Onishi
PAKDD
2007
ACM
152views Data Mining» more  PAKDD 2007»
16 years 21 days ago
Spectral Clustering Based Null Space Linear Discriminant Analysis (SNLDA)
While null space based linear discriminant analysis (NLDA) obtains a good discriminant performance, the ability easily suffers from an implicit assumption of Gaussian model with sa...
Wenxin Yang, Junping Zhang
ICMCS
2005
IEEE
139views Multimedia» more  ICMCS 2005»
16 years 5 days ago
Rapid Feature Space Speaker Adaptation for Multi-Stream HMM-Based Audio-Visual Speech Recognition
Multi-stream hidden Markov models (HMMs) have recently been very successful in audio-visual speech recognition, where the audio and visual streams are fused at the final decision...
Jing Huang, Etienne Marcheret, Karthik Visweswaria...
COSIT
1997
Springer
98views GIS» more  COSIT 1997»
15 years 10 months ago
Structuring Space with Image Schemata: Wayfinding in Airports as a Case Study
Wayfinding is a basic activity people do throughout their entire lives as they navigate from one place to another. In order to create different spaces in such a way that they facil...
Martin Raubal, Max J. Egenhofer, Dieter Pfoser, Ne...
AIPS
2007
15 years 9 months ago
An Innovative Product for Space Mission Planning: An A Posteriori Evaluation
This paper describes MEXAR2, a software tool that is currently used to synthesize the operational commands for data downlink from the on-board memory of an interplanetary space mi...
Amedeo Cesta, Gabriella Cortellessa, Simone Fratin...