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» Feature Hierarchies for Object Classification
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ICML
2007
IEEE
14 years 11 months ago
On learning with dissimilarity functions
We study the problem of learning a classification task in which only a dissimilarity function of the objects is accessible. That is, data are not represented by feature vectors bu...
Liwei Wang, Cheng Yang, Jufu Feng
DAGM
2008
Springer
14 years 19 days ago
An Evolutionary Approach for Learning Motion Class Patterns
This article presents a genetic learning algorithm to derive discrete patterns that can be used for classification and retrieval of 3D motion capture data. Based on boolean motion ...
Meinard Müller, Bastian Demuth, Bodo Rosenhah...
PAMI
2007
139views more  PAMI 2007»
13 years 10 months ago
Extraction and Analysis of Multiple Periodic Motions in Video Sequences
—The analysis of periodic or repetitive motions is useful in many applications, such as the recognition and classification of human and animal activities. Existing methods for th...
Alexia Briassouli, Narendra Ahuja
CHI
2011
ACM
13 years 2 months ago
Tag clouds and keyword clouds: evaluating zero-interaction benefits
Tag clouds are typically presented so that users can actively utilize community-generated metadata to query a collection. This research investigates whether such keyword clouds, a...
Mathew J. Wilson, Max L. Wilson
CVPR
2005
IEEE
15 years 26 days ago
Randomized Trees for Real-Time Keypoint Recognition
In earlier work, we proposed treating wide baseline matching of feature points as a classification problem, in which each class corresponds to the set of all possible views of suc...
Vincent Lepetit, Pascal Lagger, Pascal Fua