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» The Localization Hypothesis and Machines
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ICML
2004
IEEE
16 years 7 months ago
Automated hierarchical mixtures of probabilistic principal component analyzers
Many clustering algorithms fail when dealing with high dimensional data. Principal component analysis (PCA) is a popular dimensionality reduction algorithm. However, it assumes a ...
Ting Su, Jennifer G. Dy
ICML
1998
IEEE
16 years 7 months ago
A Fast, Bottom-Up Decision Tree Pruning Algorithm with Near-Optimal Generalization
In this work, we present a new bottom-up algorithmfor decision tree pruning that is very e cient requiring only a single pass through the given tree, and prove a strong performanc...
Michael J. Kearns, Yishay Mansour
POPL
2006
ACM
16 years 6 months ago
Frame rules from answer types for code pointers
We define a type system, which may also be considered as a simple Hoare logic, for a fragment of an assembly language that deals with code pointers and jumps. The typing is aimed ...
Hayo Thielecke
MLMI
2007
Springer
16 years 17 days ago
Posterior-Based Features and Distances in Template Matching for Speech Recognition
The use of large speech corpora in example-based approaches for speech recognition is mainly focused on increasing the number of examples. This strategy presents some difficulties ...
Guillermo Aradilla, Hervé Bourlard
MLDM
2005
Springer
15 years 12 months ago
Unsupervised Learning of Visual Feature Hierarchies
We propose an unsupervised, probabilistic method for learning visual feature hierarchies. Starting from local, low-level features computed at interest point locations, the method c...
Fabien Scalzo, Justus H. Piater