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» Unsupervised Learning of Models for Recognition
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EMNLP
2006
15 years 4 months ago
Better Informed Training of Latent Syntactic Features
We study unsupervised methods for learning refinements of the nonterminals in a treebank. Following Matsuzaki et al. (2005) and Prescher (2005), we may for example split NP withou...
Markus Dreyer, Jason Eisner
148
Voted
CVPR
2005
IEEE
15 years 9 months ago
A Discriminative Framework for Modelling Object Classes
Here we explore a discriminative learning method on underlying generative models for the purpose of discriminating between object categories. Visual recognition algorithms learn m...
Alex Holub, Pietro Perona
AR
2007
204views more  AR 2007»
15 years 3 months ago
Action recognition and understanding through motor primitives
In robotics, recognition of human activity has been used extensively for robot task learning through imitation and demonstration. However, there has not been much work on modeling...
Isabel Serrano Vicente, Ville Kyrki, Danica Kragic...
141
Voted
ECCV
2004
Springer
16 years 5 months ago
Recognition by Probabilistic Hypothesis Construction
We present a probabilistic framework for recognizing objects in images of cluttered scenes. Hundreds of objects may be considered and searched in parallel. Each object is learned f...
Pierre Moreels, Michael Maire, Pietro Perona
123
Voted
LREC
2008
108views Education» more  LREC 2008»
15 years 4 months ago
The LECTRA Corpus - Classroom Lecture Transcriptions in European Portuguese
This paper describes the corpus of university lectures that has been recorded in European Portuguese, and some of the recognition experiments we have done with it. The highly spec...
Isabel Trancoso, Rui Martins, Helena Moniz, Ana Is...