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» Regular Texture Analysis as Statistical Model Selection
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SADM
2011
13 years 2 months ago
Random survival forests for high-dimensional data
: Minimal depth is a dimensionless order statistic that measures the predictiveness of a variable in a survival tree. It can be used to select variables in high-dimensional problem...
Hemant Ishwaran, Udaya B. Kogalur, Xi Chen, Andy J...
FLAIRS
2008
13 years 10 months ago
Complementary Analysis of High-Order Association Patterns and Classification
To facilitate more meaningful interpretation considering the internal interdependency relationships between data values, a new form of high-order (multiple-valued) pattern known a...
Thomas W. H. Lui, David K. Y. Chiu
ISAMI
2010
13 years 5 months ago
Employing Compact Intra-genomic Language Models to Predict Genomic Sequences and Characterize Their Entropy
Probabilistic models of languages are fundamental to understand and learn the profile of the subjacent code in order to estimate its entropy, enabling the verification and predicti...
Sérgio A. D. Deusdado, Paulo Carvalho
CVBIA
2005
Springer
14 years 1 months ago
Automatic Extraction of Femur Contours from Hip X-Ray Images
Abstract. Extraction of bone contours from x-ray images is an important first step in computer analysis of medical images. It is more complex than the segmentation of CT and MR im...
Ying Chen, Xianhe Ee, Wee Kheng Leow, Tet Sen Howe
IPPS
1999
IEEE
14 years 2 days ago
Run-Time Selection of Block Size in Pipelined Parallel Programs
Parallelizing compiler technology has improved in recent years. One area in which compilers have made progress is in handling DOACROSS loops, where crossprocessor data dependencie...
David K. Lowenthal, Michael James