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» Analyzing the Errors of Unsupervised Learning
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COLT
2004
Springer
15 years 3 months ago
Concentration Bounds for Unigrams Language Model
Abstract. We show several PAC-style concentration bounds for learning unigrams language model. One interesting quantity is the probability of all words appearing exactly k times in...
Evgeny Drukh, Yishay Mansour
82
Voted
ICDAR
2007
IEEE
15 years 4 months ago
A Sparse and Locally Shift Invariant Feature Extractor Applied to Document Images
We describe an unsupervised learning algorithm for extracting sparse and locally shift-invariant features. We also devise a principled procedure for learning hierarchies of invari...
Marc'Aurelio Ranzato, Yann LeCun
IADIS
2004
14 years 11 months ago
Erroneous Examples as a Source of Learning in Mathematics
We analyze why and how erroneous examples can be beneficially employed in learning mathematics. The `Why' addresses reasoning and attitudes that are rarely fostered in today&...
Erica Melis
61
Voted
ICCV
2009
IEEE
16 years 2 months ago
What is the Best Multi-Stage Architecture for Object Recognition?
In many recent object recognition systems, feature extraction stages are generally composed of a filter bank, a non-linear transformation, and some sort of feature pooling layer...
Kevin Jarrett, Koray Kavukcuoglu, Marc’Aurelio R...
ECCV
2004
Springer
15 years 1 months ago
Geometric Structure of Degeneracy for Multi-body Motion Segmentation
Many techniques have been proposed for segmenting feature point trajectories tracked through a video sequence into independent motions. It has been found, however, that methods tha...
Yasuyuki Sugaya, Ken-ichi Kanatani