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Ridge detection
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1	1 Straightening 3-D surface scans of curved natural history specimens for taxonomic research James Church∗ 1 , Ray Schmidt† 2 , Henry Bart Jr.‡ 2 , Xin Dang§ 3 and Yixin Chen¶ 1 1 Department Add to Reading List Source URL: people.tubri.org Language: English - Date: 2015-03-18 18:19:20 Mathematics Feature detection Geometry Ridge detection Voronoi diagram Medial axis Rotation matrix Cartesian coordinate system Edge detection Speeded up robust features Differential geometry of surfaces
2	Step brightness changes of distant mountain ridges and their perception David K. Lynch When successive ridges of distant mountains are seen, observers often report that, near the ridge where the Add to Reading List Source URL: thulescientific.com Language: English - Date: 2010-02-12 18:46:35 Observational astronomy Optical illusions Vision Photometry Optical phenomena Apparent magnitude Brightness Magnitude Edge detection Cosmic distance ladder Mach bands
3	Integrated Clustering and Motif Detection For Genome−Wide Sequence and Expression Data Daniel N. Hill William S. Hlavacek Add to Reading List Source URL: icsb-2001.org Language: English - Date: 2001-12-04 14:14:40 DNA Genetics Microarrays Regulation of gene expression Gene Transcription factor Cluster analysis Cis-regulatory module Ridge Biology Gene expression Molecular biology
4	Microsoft Word - Del2.2.doc Add to Reading List Source URL: www.semseg.eu Language: English - Date: 2011-06-18 18:51:46 Mathematical analysis Mathematics Ridge detection Scale space Dynamical system Renormalization Derivative Image processing Computer vision Physics
5	Linear coherent bi-cluster discovery via beam detection and sample set clustering Yi Shi ⋆ , Maryam Hasan, Zhipeng Cai, Guohui Lin, and Dale Schuurmans Department of Computing Science, University of Alberta Edmonton, A Add to Reading List Source URL: webdocs.cs.ualberta.ca Language: English - Date: 2012-08-19 16:00:15 Gene expression Data mining Geostatistics Biclustering Ridge K-means clustering Hierarchical clustering DBSCAN Statistics Cluster analysis Multivariate statistics
6	SUPPORTING RANGE AND SEGMENT-BASED HYSTERESIS THRESHOLDING IN EDGE DETECTION Lu Wang, Suya You, Ulrich Neumann University of Southern California ABSTRACT One of the important steps in gradient-based edge detection Add to Reading List Source URL: graphics.usc.edu Language: English - Date: 2008-06-11 20:00:43 Artificial intelligence Edge detection Thresholding Object recognition Ridge detection Canny edge detector Kadir–Brady saliency detector Image processing Computer vision Vision
7	Principles for Automatic Scale Selection Tony Lindeberg Computational Vision and Active Perception Laboratory (CVAP) Department of Numerical Analysis and Computing Science KTH (Royal Institute of Technology) S[removed]Sto Add to Reading List Source URL: www.eecs.berkeley.edu Language: English - Date: 2006-02-01 17:05:02 Mathematical analysis Scale space Ridge detection Blob detection Gaussian function Derivative Edge detection Feature detection Trigonometric functions Computer vision Image processing Mathematics
8	Principles for Automatic Scale Selection Tony Lindeberg Computational Vision and Active Perception Laboratory (CVAP) Department of Numerical Analysis and Computing Science KTH (Royal Institute of Technology) S[removed]Sto Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2004-03-03 13:18:13 Mathematical analysis Scale space Ridge detection Blob detection Gaussian function Derivative Edge detection Feature detection Trigonometric functions Computer vision Image processing Mathematics
9	Molecular-timetable methods for detection of body time and rhythm disorders from single-time-point genome-wide expression profiles Hiroki R. Ueda†‡§, Wenbin Chen, Yoichi Minami, Sato Honma¶, Kenichi Honma¶, Mas Add to Reading List Source URL: www.ncbi.nlm.nih.gov Language: English* Suprachiasmatic nucleus Circadian oscillator Ridge Gene expression Chronobiology PER2 Bacterial circadian rhythms Biology Circadian rhythms CLOCK
10	THE CASE FOR MODULAR REDUNDANCY IN LARGE-SCALE HIGH PERFORMANCE COMPUTING SYSTEMS Christian Engelmann Computer Science and Mathematics Division Oak Ridge National Laboratory Oak Ridge, TN, USA Add to Reading List Source URL: www.christian-engelmann.info Language: English - Date: 2011-05-03 17:32:32 Parallel computing Software quality Systems engineering Fault-tolerant system Redundancy Computer cluster High availability Blue Gene Error detection and correction Computing Fault-tolerant computer systems Reliability engineering

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