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ACIIDS
2010
IEEE
204views Database» more  ACIIDS 2010»
15 years 3 months ago
An Unsupervised Learning and Statistical Approach for Vietnamese Word Recognition and Segmentation
There are two main topics in this paper: (i) Vietnamese words are recognized and sentences are segmented into words by using probabilistic models; (ii) the optimum probabilistic mo...
Hieu Le Trung, Vu Le Anh, Kien Le Trung
ICCV
2011
IEEE
13 years 10 months ago
Gradient-based learning of higher-order image features
Recent work on unsupervised feature learning has shown that learning on polynomial expansions of input patches, such as on pair-wise products of pixel intensities, can improve the...
Roland Memisevic
ICRA
2008
IEEE
134views Robotics» more  ICRA 2008»
15 years 4 months ago
Real-time learning of resolved velocity control on a Mitsubishi PA-10
Abstract— Learning inverse kinematics has long been fascinating the robot learning community. While humans acquire this transformation to complicated tool spaces with ease, it is...
Jan Peters, Duy Nguyen-Tuong
87
Voted
CVPR
2007
IEEE
16 years 2 days ago
Detector adaptation by maximising agreement between independent data sources
Traditional methods for creating classifiers have two main disadvantages. Firstly, it is time consuming to acquire, or manually annotate, the training collection. Secondly, the da...
Alan F. Smeaton, Ciarán O. Conaire, Noel E....
KDD
2006
ACM
153views Data Mining» more  KDD 2006»
15 years 10 months ago
Model compression
Often the best performing supervised learning models are ensembles of hundreds or thousands of base-level classifiers. Unfortunately, the space required to store this many classif...
Cristian Bucila, Rich Caruana, Alexandru Niculescu...