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» Unsupervised Feature Selection Using Feature Similarity
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MVA
2007
133views Computer Vision» more  MVA 2007»
15 years 1 months ago
Selection of Object Recognition Methods According to the Task and Object Category
Service robots need object recognition strategy that can work on various objects in complex backgrounds. Since no single method can work in every situation, we need to combine sev...
Al Mansur, Yoshinori Kuno
107
Voted
NAACL
2010
14 years 10 months ago
Learning Dense Models of Query Similarity from User Click Logs
The goal of this work is to integrate query similarity metrics as features into a dense model that can be trained on large amounts of query log data, in order to rank query rewrit...
Fabio De Bona, Stefan Riezler, Keith Hall, Massimi...
123
Voted
BC
2002
133views more  BC 2002»
15 years 12 days ago
Cortical network reorganization guided by sensory input features
Abstract. Sensory experience alters the functional organization of cortical networks. Previous studies using behavioral training motivated by aversive or rewarding stimuli have dem...
Michael P. Kilgard, Pritesh K. Pandya, Navzer D. E...
117
Voted
ECCV
2006
Springer
16 years 2 months ago
Sampling Strategies for Bag-of-Features Image Classification
Abstract. Bag-of-features representations have recently become popular for content based image classification owing to their simplicity and good performance. They evolved from text...
Eric Nowak, Frédéric Jurie, Bill Tri...
108
Voted
MM
2010
ACM
336views Multimedia» more  MM 2010»
15 years 22 days ago
Movie genre classification via scene categorization
This paper presents a method for movie genre categorization of movie trailers, based on scene categorization. We view our approach as a step forward from using only low-level visu...
Howard Zhou, Tucker Hermans, Asmita V. Karandikar,...