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EDBT
2004
ACM
126views Database» more  EDBT 2004»
14 years 7 months ago
Spatial Queries in the Presence of Obstacles
Despite the existence of obstacles in many database applications, traditional spatial query processing utilizes the Euclidean distance metric assuming that points in space are dire...
Jun Zhang, Dimitris Papadias, Kyriakos Mouratidis,...
DEXA
2010
Springer
187views Database» more  DEXA 2010»
13 years 5 months ago
Pivot Selection Method for Optimizing both Pruning and Balancing in Metric Space Indexes
We researched to try to find a way to reduce the cost of nearest neighbor searches in metric spaces. Many similarity search indexes recursively divide a region into subregions by u...
Hisashi Kurasawa, Daiji Fukagawa, Atsuhiro Takasu,...
TODS
2002
92views more  TODS 2002»
13 years 7 months ago
Searching in metric spaces with user-defined and approximate distances
Metric access methods (MAMs), such as the M-tree, are powerful index structures for supporting ty queries on metric spaces, which represent a common abstraction for those searchin...
Paolo Ciaccia, Marco Patella
IJCV
2010
194views more  IJCV 2010»
13 years 6 months ago
Improving Bag-of-Features for Large Scale Image Search
This article improves recent methods for large scale image search. We first analyze the bag-of-features approach in the framework of approximate nearest neighbor search. This lea...
Herve Jegou, Matthijs Douze, Cordelia Schmid
COST
2007
Springer
138views Multimedia» more  COST 2007»
14 years 1 months ago
Exploiting a Vowel Based Approach for Acted Emotion Recognition
This paper is dedicated to the description and the study of a new feature extraction approach for emotion recognition. Our contribution is based on the extraction and the character...
Fabien Ringeval, Mohamed Chetouani