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IJON
2010
121views more  IJON 2010»
14 years 9 months ago
Sample-dependent graph construction with application to dimensionality reduction
Graph construction plays a key role on learning algorithms based on graph Laplacian. However, the traditional graph construction approaches of -neighborhood and k-nearest-neighbor...
Bo Yang, Songcan Chen
VLDB
1999
ACM
118views Database» more  VLDB 1999»
15 years 4 months ago
Similarity Search in High Dimensions via Hashing
The nearest- or near-neighbor query problems arise in a large variety of database applications, usually in the context of similarity searching. Of late, there has been increasing ...
Aristides Gionis, Piotr Indyk, Rajeev Motwani
KDD
2004
ACM
179views Data Mining» more  KDD 2004»
16 years 9 days ago
1-dimensional splines as building blocks for improving accuracy of risk outcomes models
Transformation of both the response variable and the predictors is commonly used in fitting regression models. However, these transformation methods do not always provide the maxi...
David S. Vogel, Morgan C. Wang
ALT
2004
Springer
15 years 8 months ago
On Kernels, Margins, and Low-Dimensional Mappings
Kernel functions are typically viewed as providing an implicit mapping of points into a high-dimensional space, with the ability to gain much of the power of that space without inc...
Maria-Florina Balcan, Avrim Blum, Santosh Vempala
WASA
2009
Springer
103views Algorithms» more  WASA 2009»
15 years 4 months ago
Void Avoidance in Three-Dimensional Mobile Underwater Sensor Networks
Mobile underwater sensor networks are usually featured with three-dimensional topology, high node mobility and long propagation delays. For such networks, geographic routing has be...
Peng Xie, Zhong Zhou, Zheng Peng, Jun-Hong Cui, Zh...