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» Structured metric learning for high dimensional problems
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KDD
2008
ACM
161views Data Mining» more  KDD 2008»
14 years 8 months ago
Locality sensitive hash functions based on concomitant rank order statistics
: Locality Sensitive Hash functions are invaluable tools for approximate near neighbor problems in high dimensional spaces. In this work, we are focused on LSH schemes where the si...
Kave Eshghi, Shyamsundar Rajaram
ICDM
2008
IEEE
95views Data Mining» more  ICDM 2008»
14 years 2 months ago
Publishing Sensitive Transactions for Itemset Utility
We consider the problem of publishing sensitive transaction data with privacy preservation. High dimensionality of transaction data poses unique challenges on data privacy and dat...
Yabo Xu, Benjamin C. M. Fung, Ke Wang, Ada Wai-Che...
RT
2004
Springer
14 years 1 months ago
Anti-aliasing and Continuity with Trapezoidal Shadow Maps
This paper proposes a new shadow map technique termed trapezoidal shadow maps to calculate high quality shadows in real-time applications. To address the resolution problem of the...
Tobias Martin, Tiow Seng Tan
CIVR
2006
Springer
121views Image Analysis» more  CIVR 2006»
13 years 11 months ago
Finding Faces in Gray Scale Images Using Locally Linear Embeddings
The problem of face detection remains challenging because faces are non-rigid objects that have a high degree of variability with respect to head rotation, illumination, facial exp...
Samuel Kadoury, Martin D. Levine
ICMLA
2008
13 years 9 months ago
Towards On-line Treatment Verification Using cine EPID for Hypofractionated Lung Radiotherapy
We propose a novel approach for on-line treatment verification using cine EPID (Electronic Portal Imaging Device) images for hypofractionated lung radiotherapy based on a machine ...
Xiaoli Tang, Tong Lin, Steve B. Jiang