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» Feature selection based on the training set manipulation
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CIVR
2003
Springer
107views Image Analysis» more  CIVR 2003»
14 years 23 days ago
Fast Video Retrieval under Sparse Training Data
Feature selection for video retrieval applications is impractical with existing techniques, because of their high time complexity and their failure on the relatively sparse trainin...
Yan Liu, John R. Kender
KDD
2008
ACM
264views Data Mining» more  KDD 2008»
14 years 8 months ago
Stable feature selection via dense feature groups
Many feature selection algorithms have been proposed in the past focusing on improving classification accuracy. In this work, we point out the importance of stable feature selecti...
Lei Yu, Chris H. Q. Ding, Steven Loscalzo
DEXA
2003
Springer
91views Database» more  DEXA 2003»
14 years 23 days ago
NLC: A Measure Based on Projections
In this paper, we propose a new feature selection criterion. It is based on the projections of data set elements onto each attribute. The main advantages are its speed and simplici...
Roberto Ruiz, José Cristóbal Riquelm...
ICMCS
2009
IEEE
130views Multimedia» more  ICMCS 2009»
13 years 5 months ago
On improving the collision property of robust hashing based on projections
In this paper, we study the collision property of one of the robust hash functions proposed in [1]. This method was originally proposed for robust hash generation from blocks of i...
Regunathan Radhakrishnan, Wenyu Jiang, Claus Bauer
NIPS
2004
13 years 9 months ago
Learning Hyper-Features for Visual Identification
We address the problem of identifying specific instances of a class (cars) from a set of images all belonging to that class. Although we cannot build a model for any particular in...
Andras Ferencz, Erik G. Learned-Miller, Jitendra M...