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» Sampling Methods for Unsupervised Learning
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105
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ICTAI
2009
IEEE
15 years 9 months ago
EBLearn: Open-Source Energy-Based Learning in C++
Energy-based learning (EBL) is a general framework to describe supervised and unsupervised training methods for probabilistic and non-probabilistic factor graphs. An energy-based ...
Pierre Sermanet, Koray Kavukcuoglu, Yann LeCun
186
Voted
ACMICEC
2007
ACM
117views ECommerce» more  ACMICEC 2007»
15 years 6 months ago
Selectively acquiring ratings for product recommendation
Accurate prediction of customer preferences on products is the key to any recommender systems to realize its promised strategic values such as improved customer satisfaction and t...
Zan Huang
CVPR
2006
IEEE
16 years 4 months ago
Automatic Discovery of Action Taxonomies from Multiple Views
We present a new method for segmenting actions into primitives and classifying them into a hierarchy of action classes. Our scheme learns action classes in an unsupervised manner ...
Daniel Weinland, Rémi Ronfard, Edmond Boyer
116
Voted
ICDAR
2003
IEEE
15 years 8 months ago
Improvement of Matching and Evaluation in Handwritten Numeral Recognition Using Flexible Standard Patterns
The purpose of this study is to develop a flexible matching method for recognizing handwritten numerals based on the statistics of shapes and structures learned from learning sam...
Hirokazu Muramatsu, Takashi Kobayashi, Takahiro Su...
FOCM
2006
50views more  FOCM 2006»
15 years 2 months ago
Online Learning Algorithms
In this paper, we study an online learning algorithm in Reproducing Kernel Hilbert Spaces (RKHS) and general Hilbert spaces. We present a general form of the stochastic gradient m...
Steve Smale, Yuan Yao