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TMI
2010
172views more  TMI 2010»
14 years 8 months ago
Comparison of AdaBoost and Support Vector Machines for Detecting Alzheimer's Disease Through Automated Hippocampal Segmentation
Abstract— We compared four automated methods for hippocampal segmentation using different machine learning algorithms (1) hierarchical AdaBoost, (2) Support Vector Machines (SVM)...
Jonathan H. Morra, Zhuowen Tu, Liana G. Apostolova...
CHI
2011
ACM
14 years 1 months ago
TouchCuts and TouchZoom: enhanced target selection for touch displays using finger proximity sensing
Although touch-screen laptops are increasing in popularity, users still do not comfortably rely on touch in these environments, as current software interfaces were not designed fo...
Xing-Dong Yang, Tovi Grossman, Pourang Irani, Geor...
PVLDB
2008
108views more  PVLDB 2008»
14 years 9 months ago
Taming verification hardness: an efficient algorithm for testing subgraph isomorphism
Graphs are widely used to model complicated data semantics in many applications. In this paper, we aim to develop efficient techniques to retrieve graphs, containing a given query...
Haichuan Shang, Ying Zhang, Xuemin Lin, Jeffrey Xu...
NPC
2007
Springer
15 years 3 months ago
A Cost-Aware Parallel Workload Allocation Approach Based on Machine Learning Techniques
Parallelism is one of the main sources for performance improvement in modern computing environment, but the efficient exploitation of the available parallelism depends on a number ...
Shun Long, Grigori Fursin, Björn Franke
BMCBI
2005
98views more  BMCBI 2005»
14 years 9 months ago
Iterative approach to model identification of biological networks
Background: Recent advances in molecular biology techniques provide an opportunity for developing detailed mathematical models of biological processes. An iterative scheme is intr...
Kapil G. Gadkar, Rudiyanto Gunawan, Francis J. Doy...