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SSD
1995
Springer
97views Database» more  SSD 1995»
14 years 1 months ago
Ranking in Spatial Databases
Abstract. An algorithm for ranking spatial objects according to increasing distance from a query object is introduced and analyzed. The algorithm makes use of a hierarchical spatia...
Gísli R. Hjaltason, Hanan Samet
ICASSP
2008
IEEE
14 years 4 months ago
A study of using locality preserving projections for feature extraction in speech recognition
This paper presents a new approach to feature analysis in automatic speech recognition (ASR) based on locality preserving projections (LPP). LPP is a manifold based dimensionality...
Yun Tang, Richard Rose
ICMCS
2009
IEEE
97views Multimedia» more  ICMCS 2009»
13 years 7 months ago
Some new directions in graph-based semi-supervised learning
In this position paper, we first review the state-of-the-art in graph-based semi-supervised learning, and point out three limitations that are particularly relevant to multimedia ...
Xiaojin Zhu, Andrew B. Goldberg, Tushar Khot
WSDM
2010
ACM
129views Data Mining» more  WSDM 2010»
14 years 7 months ago
Early Exit Optimizations for Additive Machine Learned Ranking Systems
Berkant Barla Cambazoglu, Hugo Zaragoza, Olivier C...
ICDE
2012
IEEE
246views Database» more  ICDE 2012»
12 years 2 days ago
HiCS: High Contrast Subspaces for Density-Based Outlier Ranking
—Outlier mining is a major task in data analysis. Outliers are objects that highly deviate from regular objects in their local neighborhood. Density-based outlier ranking methods...
Fabian Keller, Emmanuel Müller, Klemens B&oum...