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» Unsupervised Learning Using MML
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AVSS
2007
IEEE
14 years 3 months ago
Vehicular traffic density estimation via statistical methods with automated state learning
This paper proposes a novel approach of combining an unsupervised clustering scheme called AutoClass with Hidden Markov Models (HMMs) to determine the traffic density state in a R...
Evan Tan, Jing Chen
ICIP
2010
IEEE
13 years 6 months ago
Metaface learning for sparse representation based face recognition
Face recognition (FR) is an active yet challenging topic in computer vision applications. As a powerful tool to represent high dimensional data, recently sparse representation bas...
Meng Yang, Lei Zhang, Jian Yang, David Zhang
CLEF
2007
Springer
14 years 2 months ago
Simple Morpheme Labelling in Unsupervised Morpheme Analysis
This paper presents my participation to the second Morpho Challenge. Results have been obtained with the algorithm already presented at Morpho Challenge 2005. The system takes a p...
Delphine Bernhard
JMLR
2012
11 years 11 months ago
Deep Learning Made Easier by Linear Transformations in Perceptrons
We transform the outputs of each hidden neuron in a multi-layer perceptron network to have zero output and zero slope on average, and use separate shortcut connections to model th...
Tapani Raiko, Harri Valpola, Yann LeCun
EMNLP
2009
13 years 6 months ago
A Simple Unsupervised Learner for POS Disambiguation Rules Given Only a Minimal Lexicon
We propose a new model for unsupervised POS tagging based on linguistic distinctions between open and closed-class items. Exploiting notions from current linguistic theory, the sy...
Qiuye Zhao, Mitch Marcus