Mathematical methodologies in pattern recognition and machine learning: contributions from the International Conference on Pattern Recognition Applications and Methods, 2012
Gespeichert in:
| Format: | Elektronisch E-Book |
|---|---|
| Sprache: | English |
| Veröffentlicht: |
New York, NY [u.a.]
Springer
2013
|
| Schriftenreihe: | Springer proceedings in mathematics & statistics
30 |
| Schlagworte: | |
| Online-Zugang: | BTU01 TUM01 UBA01 UBM01 UBT01 UBW01 UPA01 Volltext Inhaltsverzeichnis Abstract |
| Beschreibung: | 1 Online-Ressource |
| ISBN: | 9781461450757 9781461450764 |
| DOI: | 10.1007/978-1-4614-5076-4 |
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Datensatz im Suchindex
| _version_ | 1804150044219146240 |
|---|---|
| adam_text | MATHEMATICAL METHODOLOGIES IN PATTERN RECOGNITION AND MACHINE LEARNING
/
: 2013
TABLE OF CONTENTS / INHALTSVERZEICHNIS
ON ORDER EQUIVALENCES BETWEEN DISTANCE AND SIMILARITY MEASURES ON
SEQUENCES AND TREES
SCALABLE CORPUS ANNOTATION BY GRAPH CONSTRUCTION AND LABEL PROPAGATION
COMPUTING THE REEB GRAPH FOR TRIANGLE MESHES WITH ACTIVE CONTOURS
EFFICIENT COMPUTATION OF VORONOI NEIGHBORS BASED ON POLYTOPE SEARCH IN
PATTERN RECOGNITION
ESTIMATION OF THE COMMON OSCILLATION FOR PHASE LOCKED MATRIX
FACTORIZATION
ASSET: APPROXIMATE STOCHASTIC SUBGRADIENT ESTIMATION TRAINING FOR
SUPPORT VECTOR MACHINES
PITCH-SENSITIVE COMPONENTS EMERGE FROM HIERARCHICAL SPARSE CODING OF
NATURAL SOUNDS
GENERATIVE EMBEDDINGS BASED ON RICAN MIXTURES: APPLICATION TO
KERNELBASED DISCRIMINATIVE CLASSIFICATION OF MAGNETIC RESONANCE
IMAGES.-SINGLE-FRAME SIGNAL RECOVERY USING A SIMILARITY-PRIOR BASED ON
PEARSON TYPE VII MRF
TRACKING SOLUTIONS OF TIME VARYING LINEAR INVERSE PROBLEMS
STACKED CONDITIONAL RANDOM FIELDS EXPLOITING STRUCTURAL CONSISTENCIES
SEGMENTATION OF VESSEL GEOMETRIES FROM MEDICAL IMAGES USING GPF
DEFORMABLE MODEL
ROBUST DEFORMABLE MODEL FOR SEGMENTING THE LEFT VENTRICLE IN 3D VOLUMES
OF ULTRASOUND DATA
ALGORITHM TO MAINTAIN LINEAR ELEMENT IN 3D LEVEL SET TOPOLOGY
OPTIMIZATION
FACIAL EXPRESSION RECOGNITION USING LOG-EUCLIDEAN STATISTICAL SHAPE
MODELS
DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
MATHEMATICAL METHODOLOGIES IN PATTERN RECOGNITION AND MACHINE LEARNING
/
: 2013
ABSTRACT / INHALTSTEXT
THIS VOLUME FEATURES KEY CONTRIBUTIONS FROM THE INTERNATIONAL CONFERENCE
ON PATTERN RECOGNITION APPLICATIONS AND METHODS, (ICPRAM 2012,) HELD IN
VILAMOURA, ALGARVE, PORTUGAL FROM FEBRUARY 6TH-8TH, 2012.THE
CONFERENCE PROVIDED A MAJOR POINT OF COLLABORATION BETWEEN RESEARCHERS,
ENGINEERS AND PRACTITIONERS IN THE AREAS OF PATTERN RECOGNITION, BOTH
FROM THEORETICAL AND APPLIED PERSPECTIVES, WITH A FOCUS ON MATHEMATICAL
METHODOLOGIES. CONTRIBUTIONS DESCRIBE APPLICATIONS OF PATTERN
RECOGNITION TECHNIQUES TO REAL-WORLD PROBLEMS, INTERDISCIPLINARY
RESEARCH, AND EXPERIMENTAL AND THEORETICAL STUDIES WHICH YIELD NEW
INSIGHTS THAT PROVIDE KEY ADVANCES IN THE FIELD. THIS BOOK WILL BE
SUITABLE FOR SCIENTISTS AND RESEARCHERS IN OPTIMIZATION, NUMERICAL
METHODS, COMPUTER SCIENCE, STATISTICS ANDFOR DIFFERENTIAL GEOMETERS
AND MATHEMATICAL PHYSICISTS
DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
|
| any_adam_object | 1 |
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| dewey-full | 519 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 519 - Probabilities and applied mathematics |
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| dewey-search | 519 |
| dewey-sort | 3519 |
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| discipline | Informatik Mathematik |
| doi_str_mv | 10.1007/978-1-4614-5076-4 |
| format | Electronic eBook |
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| spelling | Mathematical methodologies in pattern recognition and machine learning contributions from the International Conference on Pattern Recognition Applications and Methods, 2012 Pedro Latorre Carmona ..., ed. New York, NY [u.a.] Springer 2013 1 Online-Ressource txt rdacontent c rdamedia cr rdacarrier Springer proceedings in mathematics & statistics 30 Mustererkennung (DE-588)4040936-3 gnd rswk-swf Maschinelles Lernen (DE-588)4193754-5 gnd rswk-swf (DE-588)1071861417 Konferenzschrift gnd-content Maschinelles Lernen (DE-588)4193754-5 s Mustererkennung (DE-588)4040936-3 s DE-604 Latorre Carmona, Pedro Sonstige (DE-588)1030597936 oth Springer proceedings in mathematics & statistics 30 (DE-604)BV041997384 30 https://doi.org/10.1007/978-1-4614-5076-4 Verlag Volltext Springer Fremddatenuebernahme application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=025709617&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis Springer Fremddatenuebernahme application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=025709617&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA Abstract |
| spellingShingle | Mathematical methodologies in pattern recognition and machine learning contributions from the International Conference on Pattern Recognition Applications and Methods, 2012 Springer proceedings in mathematics & statistics Mustererkennung (DE-588)4040936-3 gnd Maschinelles Lernen (DE-588)4193754-5 gnd |
| subject_GND | (DE-588)4040936-3 (DE-588)4193754-5 (DE-588)1071861417 |
| title | Mathematical methodologies in pattern recognition and machine learning contributions from the International Conference on Pattern Recognition Applications and Methods, 2012 |
| title_auth | Mathematical methodologies in pattern recognition and machine learning contributions from the International Conference on Pattern Recognition Applications and Methods, 2012 |
| title_exact_search | Mathematical methodologies in pattern recognition and machine learning contributions from the International Conference on Pattern Recognition Applications and Methods, 2012 |
| title_full | Mathematical methodologies in pattern recognition and machine learning contributions from the International Conference on Pattern Recognition Applications and Methods, 2012 Pedro Latorre Carmona ..., ed. |
| title_fullStr | Mathematical methodologies in pattern recognition and machine learning contributions from the International Conference on Pattern Recognition Applications and Methods, 2012 Pedro Latorre Carmona ..., ed. |
| title_full_unstemmed | Mathematical methodologies in pattern recognition and machine learning contributions from the International Conference on Pattern Recognition Applications and Methods, 2012 Pedro Latorre Carmona ..., ed. |
| title_short | Mathematical methodologies in pattern recognition and machine learning |
| title_sort | mathematical methodologies in pattern recognition and machine learning contributions from the international conference on pattern recognition applications and methods 2012 |
| title_sub | contributions from the International Conference on Pattern Recognition Applications and Methods, 2012 |
| topic | Mustererkennung (DE-588)4040936-3 gnd Maschinelles Lernen (DE-588)4193754-5 gnd |
| topic_facet | Mustererkennung Maschinelles Lernen Konferenzschrift |
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