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KDD
2008
ACM
104views Data Mining» more  KDD 2008»
14 years 9 months ago
Learning methods for lung tumor markerless gating in image-guided radiotherapy
In an idealized gated radiotherapy treatment, radiation is delivered only when the tumor is at the right position. For gated lung cancer radiotherapy, it is difficult to generate ...
Ying Cui, Jennifer G. Dy, Gregory C. Sharp, Brian ...
IPPS
2007
IEEE
14 years 3 months ago
Invited Paper: A Compile-time Cost Model for OpenMP
OpenMP has gained wide popularity as an API for parallel programming on shared memory and distributed shared memory platforms. It is also a promising candidate to exploit the emer...
Chunhua Liao, Barbara M. Chapman
ECCV
2010
Springer
14 years 2 months ago
Fast Approximate Nearest Neighbor Methods for Non-Euclidean Manifolds with Applications to Human Activity Analysis in Videos
Approximate Nearest Neighbor (ANN) methods such as Locality Sensitive Hashing, Semantic Hashing, and Spectral Hashing, provide computationally ecient procedures for nding objects...
Rizwan Chaudhry, Yuri Ivanov
BMCBI
2007
227views more  BMCBI 2007»
13 years 9 months ago
Growing functional modules from a seed protein via integration of protein interaction and gene expression data
Background: Nowadays modern biology aims at unravelling the strands of complex biological structures such as the protein-protein interaction (PPI) networks. A key concept in the o...
Ioannis A. Maraziotis, Konstantina Dimitrakopoulou...
ALGORITHMICA
2006
139views more  ALGORITHMICA 2006»
13 years 9 months ago
CONQUEST: A Coarse-Grained Algorithm for Constructing Summaries of Distributed Discrete Datasets
Abstract. In this paper we present a coarse-grained parallel algorithm, CONQUEST, for constructing boundederror summaries of high-dimensional binary attributed data in a distribute...
Jie Chi, Mehmet Koyutürk, Ananth Grama