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AAAI
2007
13 years 11 months ago
Handling Non-Sentential Utterances in a Continuous Understanding Framework
The goal of my research is to understand speech input in a continuous manner by treating the input stream as fragmental utterances. This allows us to use various approaches to pre...
Carlos Gómez Gallo
ISMIR
2004
Springer
133views Music» more  ISMIR 2004»
14 years 1 months ago
Understanding Search Performance in Query-by-Humming Systems
Previous work in Query-by-Humming systems has left open many questions. Although a variety of techniques have been explored, there has been relatively little work to compare them ...
Roger B. Dannenberg, Ning Hu
PVLDB
2010
97views more  PVLDB 2010»
13 years 7 months ago
TRAMP: Understanding the Behavior of Schema Mappings through Provenance
Though partially automated, developing schema mappings remains a complex and potentially error-prone task. In this paper, we present TRAMP (TRAnsformation Mapping Provenance), an ...
Boris Glavic, Gustavo Alonso, Renée J. Mill...
HICSS
1999
IEEE
183views Biometrics» more  HICSS 1999»
14 years 26 days ago
Extending the Technology Acceptance Model to Account for Social Influence: Theoretical Bases and Empirical Validation
The Technology Acceptance Model (TAM) represents an important theoretical contribution toward understanding IS usage and IS acceptance behaviors [6, 19]. However, as noted by seve...
Yogesh Malhotra, Dennis F. Galletta
HICSS
2003
IEEE
105views Biometrics» more  HICSS 2003»
14 years 1 months ago
Does the Extended Technology Acceptance Model Apply to Physicians
In previous studies, the technology acceptance model (TAM) [1] has been widely used by information technology researchers to gain a better understanding of information technology ...
William G. Chismar, Sonja Wiley-Patton