Technical Session NNSP-1

Title:	Application - Pattern Recognition & Speech Processing   (Poster)
Time:	Tuesday, March 16,  1:00 PM - 3:00 PM
Location:	Exhibit Hall E 3
Chair:	Nelson Morgan    (UC Berkeley and International coomputer Science Institute)

1:00 PM	NNSP-1.1 FREQUENCY RECOVERY OF NARROW-BAND SPEECH USING ADAPTIVE SPLINE NEURAL NETWORKS Aurelio Uncini, Francesco Gobbi, Francesco Piazza (Dipartimento di Elettronica e Automatica - Università di Ancona, Ancona, Italy) [abstract]  [manuscript]
	NNSP-1.2 DIPHONE MULTI-TRAJECTORY SUBSPACE MODELS KLAUS REINHARD (CAMBRIDGE UNIVERSITY ENGINEERING DEPARTMENT), MAHESAN NIRANJAN (CAMBRIDGE UNIVERSITY ENGINEERING DEPARTMEN) [abstract]  [manuscript]
	NNSP-1.3 Speaker recognition with a MLP classifier and LPCC codebook Daniel Rodriguez-Porcheron (Universitat Politecnica de Catalunya), Marcos Faundez-Zanuy (Escola Universitaria Politecnica de Mataro) [abstract]  [manuscript]
	NNSP-1.4 Using Boosting to Improve a Hybrid HMM/Neural Network Speech Recognizer Holger Schwenk (International Computer Science Institute, Berkeley) [abstract]  [manuscript]
	NNSP-1.5 Size matters: An empirical study of neural network training for large vocabulary continuous speech recognition Dan Ellis (International Computer Science Institute), Nelson Morgan (International Computer Science Institute / U.C. Berkeley) [abstract]  [manuscript]
	NNSP-1.6 Oriented Soft Localized Subspace Classification Thiagarajan Balachander, Ravi Kothari (University of Cincinnati) [abstract]  [manuscript]
	NNSP-1.7 The seperability theory of hyperbolic tangent kernels and support vector machines for pattern classification Mathini Sellathurai (Communications Research Lab, McMaster University), Simon Haykin (Communications research lab, McMaster University) [abstract]  [manuscript]
	NNSP-1.8 Multi-Category Classification by Kernel based Nonlinear Subspace Method Eisaku Maeda, Hiroshi Murase (NTT Basic Research Laboratories) [abstract]  [manuscript]
	NNSP-1.9 Ensemble Classification by Critic-driven Combining David J Miller, Lian Yan (The Pennsylvania State University) [abstract]  [manuscript]
	NNSP-1.10 HIGHLY ACCURATE HIGHER ORDER STATISTICS BASED NEURAL NETWORK CLASSIFIER OF SPECIFIC ABNORMALITY IN ELECTROCARDIOGRAM SIGNALS Madiha Sabry-Rizk, Walid A Zgallai, Sahar El-Khafif (EEIE Dept, City University, London, UK), Ewart R Carson (MIM Centre, City University, London, UK), Kenneth T Grattan (EEIE Dept, City University, London, UK), Peter Thompson (Royal Free Hospital, London, UK) [abstract]  [manuscript]

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Last Update:  February 4, 1999         Ingo Höntsch