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MICAI
2005
Springer
15 years 4 months ago
Proximity Searching in High Dimensional Spaces with a Proximity Preserving Order
Abstract. Kernel based methods (such as k-nearest neighbors classifiers) for AI tasks translate the classification problem into a proximity search problem, in a space that is usu...
Edgar Chávez, Karina Figueroa, Gonzalo Nava...
CVPR
2007
IEEE
16 years 29 days ago
A contextual dissimilarity measure for accurate and efficient image search
In this paper we present two contributions to improve accuracy and speed of an image search system based on bag-of-features: a contextual dissimilarity measure (CDM) and an effici...
Herve Jegou, Hedi Harzallah, Cordelia Schmid
PPSN
2004
Springer
15 years 4 months ago
Searching Transcriptional Modules Using Evolutionary Algorithms
The mechanism of gene regulation has been studied intensely for decades. It is important to identify synergistic transcriptional motifs. Its search space is so large that an effici...
Je-Gun Joung, Sok June Oh, Byoung-Tak Zhang
89
Voted
DEXA
2009
Springer
124views Database» more  DEXA 2009»
15 years 5 months ago
VisiNav: Visual Web Data Search and Navigation
Semantic Web technologies facilitate data integration over a large number of sources with decentralised and loose coordination, ideally leading to interlinked datasets which descri...
Andreas Harth
90
Voted
GECCO
2003
Springer
268views Optimization» more  GECCO 2003»
15 years 4 months ago
A Generalized Feedforward Neural Network Architecture and Its Training Using Two Stochastic Search Methods
Shunting Inhibitory Artificial Neural Networks (SIANNs) are biologically inspired networks in which the synaptic interactions are mediated via a nonlinear mechanism called shuntin...
Abdesselam Bouzerdoum, Rainer Mueller