Machine intelligence and signal processing:
Gespeichert in:
| Weitere Verfasser: | , , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
New Delhi
Springer
[2016]
|
| Schriftenreihe: | Advances in intelligent systems and computing
volume 390 (2016) |
| Schlagworte: | |
| Online-Zugang: | BTU01 FAB01 FAW01 FHA01 FHI01 FHN01 FHR01 FKE01 FRO01 FWS01 FWS02 UBY01 Volltext Inhaltsverzeichnis Abstract |
| Beschreibung: | 1 Online Ressource (x, 163 Seiten) |
| ISBN: | 9788132226253 |
| DOI: | 10.1007/978-81-322-2625-3 |
Internformat
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Datensatz im Suchindex
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| adam_text | MACHINE INTELLIGENCE AND SIGNAL PROCESSING
/
: 2016
TABLE OF CONTENTS / INHALTSVERZEICHNIS
CHAPTER 1. ADVANCING CROSS-SPECTRAL IRIS RECOGNITION RESEARCH USING
BI-SPECTRAL IMAGING
CHAPTER 2. FAST 3D SALIENT REGION DETECTION IN MEDICAL IMAGES USING GPUS
CHAPTER 3. RECOVERING PARTIALLY SAMPLED EEG SIGNALS USING LEARNED
DICTIONARIES
CHAPTER 4. GREEDY ALGORITHMS FOR NON-LINEAR SPARSE RECOVERY
CHAPTER 5. IMPROVING RATING PREDICTIONS BY BASELINE ESTIMATION AND
SINGLE PASS LOW-RANK APPROXIMATION
CHAPTER 6. REDUCING INTER-SCANNER VARIABILITY IN MULTI-SITE FMRI
ACTIVATIONS USING CORRECTION FUNCTIONS: A PRELIMINARY STUDY
CHAPTER 7. GENETICALLY MODIFIED LOGISTIC REGRESSION WITH RADIAL BASIS
FUNCTION FOR ROBUST SOFTWARE EFFORT PREDICTION
CHAPTER 8. MISSING DATA INTERPOLATION USING COMPRESSIVE SENSING: AN
APPLICATION FOR SALES DATA GATHERING
CHAPTER 9. RETINAL VESSEL CLASSIFICATION BASED ON MAXIMIZATION OF
SQUARED-LOSS MUTUAL INFORMATION
CHAPTER 10. RETINAL BLOOD VESSEL EXTRACTION AND OPTIC DISC REMOVAL USING
CURVELET TRANSFORM AND MORPHOLOGICAL OPERATION
CHAPTER 11. ADAPTIVE SKIN COLOR MODEL TO IMPROVE VIDEO FACE DETECTION
CHAPTER 12. AUTOMATED SPAM DETECTION IN SHORT TEXT MESSAGES
CHAPTER 13. DOMAIN ADAPTATION FOR FACE DETECTION
CHAPTER 14. COMPARATIVE STUDY OF PRE-PROCESSING AND CLASSIFICATION
METHODS IN CHARACTER RECOGNITION OF NATURAL SCENE IMAGES
DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
MACHINE INTELLIGENCE AND SIGNAL PROCESSING
/
: 2016
ABSTRACT / INHALTSTEXT
THIS BOOK COMPRISES CHAPTERS ON KEY PROBLEMS IN MACHINE LEARNING AND
SIGNAL PROCESSING ARENAS. THE CONTENTS OF THE BOOK ARE A RESULT OF A
2014 WORKSHOP ON MACHINE INTELLIGENCE AND SIGNAL PROCESSING HELD AT THE
INDRAPRASTHA INSTITUTE OF INFORMATION TECHNOLOGY. TRADITIONALLY, SIGNAL
PROCESSING AND MACHINE LEARNING WERE CONSIDERED TO BE SEPARATE AREAS OF
RESEARCH. HOWEVER IN RECENT TIMES THE TWO COMMUNITIES ARE GETTING
CLOSER. IN A VERY ABSTRACT FASHION, SIGNAL PROCESSING IS THE STUDY OF
OPERATOR DESIGN. THE CONTRIBUTIONS OF SIGNAL PROCESSING HAD BEEN TO
DEVICE OPERATORS FOR RESTORATION, COMPRESSION, ETC. APPLIED
MATHEMATICIANS WERE MORE INTERESTED IN OPERATOR ANALYSIS. NOWADAYS
SIGNAL PROCESSING RESEARCH IS GRAVITATING TOWARDS OPERATOR LEARNING –
INSTEAD OF DESIGNING OPERATORS BASED ON HEURISTICS (FOR EXAMPLE
WAVELETS), THE TREND IS TO LEARN THESE OPERATORS (FOR EXAMPLE DICTIONARY
LEARNING). AND THUS, THE GAP BETWEEN SIGNAL PROCESSING AND MACHINE
LEARNING IS FAST CONVERGING.THE 2014 WORKSHOP ON MACHINE INTELLIGENCE
AND SIGNAL PROCESSING WAS ONE OF THE FEW UNIQUE EVENTS THAT ARE FOCUSED
ON THE CONVERGENCE OF THE TWO FIELDS. THE BOOK IS COMPRISED OF CHAPTERS
BASED ON THE TOP PRESENTATIONS AT THE WORKSHOP. THIS BOOK HAS THREE
CHAPTERS ON VARIOUS TOPICS OF BIOMETRICS – TWO ARE ON FACE DETECTION
AND ONE ON IRIS RECOGNITION; ALL FROM TOP RESEARCHERS IN THEIR FIELD.
THERE ARE FOUR CHAPTERS ON DIFFERENT BIOMEDICAL SIGNAL / IMAGE
PROCESSING PROBLEMS. TWO OF THESE ARE ON RETINAL VESSEL CLASSIFICATION
AND EXTRACTION; ONE ON BIOMEDICAL SIGNAL ACQUISITION AND THE FOURTH ONE
ON REGION DETECTION. THERE ARE THREE CHAPTERS ON DATA ANALYSIS – A
TOPIC GAINING IMMENSE POPULARITY IN INDUSTRY AND ACADEMIA. ONE OF THESE
SHOWS A NOVEL USE OF COMPRESSED SENSING IN MISSING SALES DATA
INTERPOLATION. ANOTHER CHAPTER IS ON SPAM DETECTION AND THE THIRD ONE IS
ON SIMPLE ONE-SHOT MOVIE RATING PREDICTION.FOUR OTHER CHAPTERS COVER
VARIOUS CUTTING EDGE MISCELLANEOUS TOPICS ON CHARACTER RECOGNITION,
SOFTWARE EFFORT PREDICTION, SPEECH RECOGNITION AND NON-LINEAR SPARSE
RECOVERY. THE CONTENTS OF THIS BOOK WILL PROVE USEFUL TO RESEARCHERS,
PROFESSIONALS AND STUDENTS IN THE DOMAINS OF MACHINE LEARNING AND SIGNAL
PROCESSING
DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
|
| any_adam_object | 1 |
| author2 | Singh, Richa Vatsa, Mayank Majumdar, Angshul Kumar, Ajay |
| author2_role | edt edt edt edt |
| author2_variant | r s rs m v mv a m am a k ak |
| author_facet | Singh, Richa Vatsa, Mayank Majumdar, Angshul Kumar, Ajay |
| building | Verbundindex |
| bvnumber | BV043211590 |
| collection | ZDB-2-ENG |
| ctrlnum | (OCoLC)942338949 (DE-599)BVBBV043211590 |
| dewey-full | 006.3 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 006 - Special computer methods |
| dewey-raw | 006.3 |
| dewey-search | 006.3 |
| dewey-sort | 16.3 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| doi_str_mv | 10.1007/978-81-322-2625-3 |
| format | Electronic eBook |
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| id | DE-604.BV043211590 |
| illustrated | Not Illustrated |
| indexdate | 2024-08-01T12:12:10Z |
| institution | BVB |
| isbn | 9788132226253 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-028634729 |
| oclc_num | 942338949 |
| open_access_boolean | |
| owner | DE-1043 DE-Aug4 DE-573 DE-859 DE-863 DE-BY-FWS DE-92 DE-862 DE-BY-FWS DE-898 DE-BY-UBR DE-634 DE-1046 DE-861 DE-706 |
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| physical | 1 Online Ressource (x, 163 Seiten) |
| psigel | ZDB-2-ENG ZDB-2-ENG_2016 |
| publishDate | 2016 |
| publishDateSearch | 2016 |
| publishDateSort | 2016 |
| publisher | Springer |
| record_format | marc |
| series | Advances in intelligent systems and computing |
| series2 | Advances in intelligent systems and computing |
| spellingShingle | Machine intelligence and signal processing Advances in intelligent systems and computing Engineering Computer graphics Computational intelligence Computational Intelligence Signal, Image and Speech Processing Computer Imaging, Vision, Pattern Recognition and Graphics Ingenieurwissenschaften |
| title | Machine intelligence and signal processing |
| title_auth | Machine intelligence and signal processing |
| title_exact_search | Machine intelligence and signal processing |
| title_full | Machine intelligence and signal processing Richa Singh, Mayank Vatsa, Angshul Majumdar, Ajay Kumar |
| title_fullStr | Machine intelligence and signal processing Richa Singh, Mayank Vatsa, Angshul Majumdar, Ajay Kumar |
| title_full_unstemmed | Machine intelligence and signal processing Richa Singh, Mayank Vatsa, Angshul Majumdar, Ajay Kumar |
| title_short | Machine intelligence and signal processing |
| title_sort | machine intelligence and signal processing |
| topic | Engineering Computer graphics Computational intelligence Computational Intelligence Signal, Image and Speech Processing Computer Imaging, Vision, Pattern Recognition and Graphics Ingenieurwissenschaften |
| topic_facet | Engineering Computer graphics Computational intelligence Computational Intelligence Signal, Image and Speech Processing Computer Imaging, Vision, Pattern Recognition and Graphics Ingenieurwissenschaften |
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