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ACL
2009
13 years 5 months ago
Paraphrase Identification as Probabilistic Quasi-Synchronous Recognition
We present a novel approach to deciding whether two sentences hold a paraphrase relationship. We employ a generative model that generates a paraphrase of a given sentence, and we ...
Dipanjan Das, Noah A. Smith
CIARP
2009
Springer
13 years 11 months ago
Particle Swarm Model Selection for Authorship Verification
Authorship verification is the task of determining whether documents were or were not written by a certain author. The problem has been faced by using binary classifiers, one per a...
Hugo Jair Escalante, Manuel Montes-y-Gómez,...
CVPR
2008
IEEE
14 years 9 months ago
Unsupervised learning of probabilistic object models (POMs) for object classification, segmentation and recognition
We present a new unsupervised method to learn unified probabilistic object models (POMs) which can be applied to classification, segmentation, and recognition. We formulate this a...
Yuanhao Chen, Long Zhu, Alan L. Yuille, HongJiang ...
ACII
2007
Springer
14 years 1 months ago
Frame vs. Turn-Level: Emotion Recognition from Speech Considering Static and Dynamic Processing
Abstract. Opposing the pre-dominant turn-wise statistics of acoustic LowLevel-Descriptors followed by static classification we re-investigate dynamic modeling directly on the frame...
Bogdan Vlasenko, Björn Schuller, Andreas Wend...
ICASSP
2010
IEEE
13 years 8 months ago
Acoustic front-end optimization for bird species recognition
The goal of this work was to explore the optimization of the feature extraction module (front-end) parameters to improve bird species recognition. We explored optimizing the spect...
Martin Graciarena, Michelle Delplanche, Elizabeth ...