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» 2LDA: Segmentation for Recognition
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NIPS
2008
13 years 10 months ago
Multi-Level Active Prediction of Useful Image Annotations for Recognition
We introduce a framework for actively learning visual categories from a mixture of weakly and strongly labeled image examples. We propose to allow the categorylearner to strategic...
Sudheendra Vijayanarasimhan, Kristen Grauman
ICASSP
2010
IEEE
13 years 9 months ago
Acoustic model adaptation via Linear Spline Interpolation for robust speech recognition
We recently proposed a new algorithm to perform acoustic model adaptation to noisy environments called Linear Spline Interpolation (LSI). In this method, the nonlinear relationshi...
Michael L. Seltzer, Alex Acero, Kaustubh Kalgaonka...
ACTAC
2006
126views more  ACTAC 2006»
13 years 9 months ago
Named Entity Recognition for Hungarian Using Various Machine Learning Algorithms
In this paper we introduce a statistical Named Entity recognizer (NER) system for the Hungarian language. We examined three methods for identifying and disambiguating proper nouns...
Richárd Farkas, György Szarvas, Andr&a...
ICASSP
2011
IEEE
13 years 27 days ago
Discriminant binary data representation for speaker recognition
In supervector UBM/GMM paradigm, each acoustic file is represented by the mean parameters of a GMM model. This supervector space is used as a data representation space, which has...
Jean-François Bonastre, Pierre-Michel Bousq...

Book
292views
15 years 8 months ago
From Surfaces to Objects: Computer Vision and Three Dimensional Scene Analysis
"Three dimensional scene analysis has reached a turning point. Though researchers have been investigating object recognition and scene understanding since the late 1960’s, a...
Robert B. Fisher