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IDA
2007
Springer
15 years 6 months ago
Removing biases in unsupervised learning of sequential patterns
Unsupervised sequence learning is important to many applications. A learner is presented with unlabeled sequential data, and must discover sequential patterns that characterize th...
Yoav Horman, Gal A. Kaminka
ICASSP
2008
IEEE
16 years 1 months ago
Confidence estimation, OOV detection and language ID using phone-to-word transduction and phone-level alignments
Automatic Speech Recognition (ASR) systems continue to make errors during search when handling various phenomena including noise, pronunciation variation, and out of vocabulary (O...
Christopher M. White, Geoffrey Zweig, Lukas Burget...
AAI
2004
127views more  AAI 2004»
15 years 6 months ago
Evaluating The Regret System
The ReGreT system is a trust and reputation mechanism that uses, among other things, social information to improve the calculation of trust and reputation measures. Using a framew...
Jordi Sabater
DIAL
2006
IEEE
117views Image Analysis» more  DIAL 2006»
16 years 26 days ago
Document Image Retrieval using Signatures as Queries
In searching a repository of business documents, a task of interest is that of using a query signature image to retrieve from a database, other signatures matching the query. The ...
Sargur N. Srihari, Shravya Shetty, Siyuan Chen, Ha...
IJCV
2008
188views more  IJCV 2008»
15 years 6 months ago
Partial Linear Gaussian Models for Tracking in Image Sequences Using Sequential Monte Carlo Methods
The recent development of Sequential Monte Carlo methods (also called particle filters) has enabled the definition of efficient algorithms for tracking applications in image sequen...
Elise Arnaud, Étienne Mémin