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DASFAA
2009
IEEE
133views Database» more  DASFAA 2009»
16 years 1 months ago
Probabilistic Ranking in Uncertain Vector Spaces
Abstract. In many application domains, e.g. sensor databases, traffic management or recognition systems, objects have to be compared based on positionally and existentially uncert...
Thomas Bernecker, Hans-Peter Kriegel, Matthias Ren...
ICDE
2007
IEEE
228views Database» more  ICDE 2007»
16 years 27 days ago
A General Cost Model for Dimensionality Reduction in High Dimensional Spaces
Similarity search usually encounters a serious problem in the high dimensional space, known as the “curse of dimensionality”. In order to speed up the retrieval efficiency, p...
Xiang Lian, Lei Chen 0002
DEXA
2010
Springer
187views Database» more  DEXA 2010»
15 years 4 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,...
GECCO
2009
Springer
199views Optimization» more  GECCO 2009»
15 years 11 months ago
Using behavioral exploration objectives to solve deceptive problems in neuro-evolution
Encouraging exploration, typically by preserving the diversity within the population, is one of the most common method to improve the behavior of evolutionary algorithms with dece...
Jean-Baptiste Mouret, Stéphane Doncieux
ECCV
2008
Springer
16 years 8 months ago
Search Space Reduction for MRF Stereo
We present an algorithm to reduce per-pixel search ranges for Markov Random Fields-based stereo algorithms. Our algorithm is based on the intuitions that reliably matched pixels ne...
Liang Wang, Hailin Jin, Ruigang Yang