Applied pattern recognition: a practical introduction to image and speech processing in C++
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Braunschweig ; Wiesbaden
Vieweg
2001
|
| Ausgabe: | 3. ed. |
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | 1. Aufl. u.d.T.: Paulus, Dietrich W. R.: Pattern recognition images and speech in C++ |
| Beschreibung: | XII, 380 S. Ill., graph. Darst. |
| ISBN: | 3528255587 |
Internformat
MARC
| LEADER | 00000nam a22000008c 4500 | ||
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| 001 | BV013703173 | ||
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| 100 | 1 | |a Paulus, Dietrich |d 1959- |e Verfasser |0 (DE-588)11281610X |4 aut | |
| 245 | 1 | 0 | |a Applied pattern recognition |b a practical introduction to image and speech processing in C++ |c Dietrich W. R. Paulus ; Joachim Hornegger |
| 250 | |a 3. ed. | ||
| 264 | 1 | |a Braunschweig ; Wiesbaden |b Vieweg |c 2001 | |
| 300 | |a XII, 380 S. |b Ill., graph. Darst. | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 500 | |a 1. Aufl. u.d.T.: Paulus, Dietrich W. R.: Pattern recognition images and speech in C++ | ||
| 650 | 4 | |a C++ (Langage de programmation) | |
| 650 | 4 | |a Reconnaissance automatique de la parole - Informatique | |
| 650 | 4 | |a Reconnaissance des formes (Informatique) | |
| 650 | 4 | |a Traitement d'images - Techniques numériques | |
| 650 | 4 | |a Datenverarbeitung | |
| 650 | 4 | |a C++ (Computer program language) | |
| 650 | 4 | |a Image processing | |
| 650 | 4 | |a Pattern perception |x Data processing | |
| 650 | 0 | 7 | |a Mustererkennung |0 (DE-588)4040936-3 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Sprachverarbeitung |0 (DE-588)4116579-2 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Objektorientierte Programmierung |0 (DE-588)4233947-9 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Bildverarbeitung |0 (DE-588)4006684-8 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Automatische Spracherkennung |0 (DE-588)4003961-4 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a C++ |0 (DE-588)4193909-8 |2 gnd |9 rswk-swf |
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| 689 | 0 | 2 | |a Objektorientierte Programmierung |0 (DE-588)4233947-9 |D s |
| 689 | 0 | 3 | |a C++ |0 (DE-588)4193909-8 |D s |
| 689 | 0 | |5 DE-604 | |
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| 689 | 1 | |5 DE-604 | |
| 689 | 2 | 0 | |a Automatische Spracherkennung |0 (DE-588)4003961-4 |D s |
| 689 | 2 | 1 | |a C++ |0 (DE-588)4193909-8 |D s |
| 689 | 2 | |8 1\p |5 DE-604 | |
| 700 | 1 | |a Hornegger, Joachim |d 1967- |e Verfasser |0 (DE-588)114804893 |4 aut | |
| 856 | 4 | 2 | |m DNB Datenaustausch |q application/pdf |u http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=009365620&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |3 Inhaltsverzeichnis |
| 883 | 1 | |8 1\p |a cgwrk |d 20201028 |q DE-101 |u https://d-nb.info/provenance/plan#cgwrk | |
| 943 | 1 | |a oai:aleph.bib-bvb.de:BVB01-009365620 | |
Datensatz im Suchindex
| DE-BY-863_location | 1000 |
|---|---|
| DE-BY-FWS_call_number | 1000/ST 330 P333(3) |
| DE-BY-FWS_katkey | 186090 |
| DE-BY-FWS_media_number | 083100796648 |
| _version_ | 1807326458811514880 |
| adam_text |
CONTENTS
V
PARTI
INTRODUCTIONS
3
1
PATTERN
RECOGNITION
5
1.1
IMAGES
AND
SOUND
.
5
1.2
APPLICATIONS
OF
PATTERN
RECOGNITION
.
6
1.3
ENVIRONMENT,
PROBLEM
DOMAIN,
AND
PATTERNS
.
.
.
.
7
1.4
CHARACTERIZATION
OF
PATTERN
RECOGNITION
.
8
1.5
SPEECH
RECORDING
.
9
1.6
VIDEO
CAMERAS
AND
PROJECTIONS
.
10
1.7
FROM
CONTINUOUS
TO
DIGITAL
SIGNALS
.
13
1.8
SAMPLING
THEOREM
IN
PRACTICE
.
14
1.9
VISUALIZATION
AND
SOUND
GENERATION
.
15
2
FROM
C
TO
C++
17
2.1
SYNTAX
NOTATION
.
17
2.2
PRINCIPLE
OF
C++
COMPILATION
.
18
2.3
FUNCTION
CALLS
AND
ARGUMENTS
.
19
2.4
DECLARATION
AND
DEFINITION
OF
VARIABLES
.
20
2.5
UNIX-FILE
ACCESS
VIA
STANDARD
FUNCTIONS
.
21
2.6
NUMERIC
EXPRESSIONS
.
23
2.7
MAIN
PROGRAM
.
24
2.8
FUNCTION
DEFINITION
.
25
2.9 SCOPE
AND
LIFETIME
.
26
3
SOFTWARE
DEVELOPMENT
29
3.1
SOFTWARE
FOR
PATTERN
RECOGNITION
.
29
3.2
SOFTWARE
DEVELOPMENT
AND
TESTING
.
30
3.3
MODULAR
AND
STRUCTURED
PROGRAMMING
.
'
.
.
32
3.4
COMMENTS
AND
PROGRAM
LAYOUT
.
32
3.5
DOCUMENTATION
.
33
3.6
TEAMWORK
.
34
3.7
TOOLS
FOR
SOFTWARE
DEVELOPMENT
.
35
3.8
EFFICIENCY
.
35
3.9
APPROXIMATION
.
36
4
CONTROL
AND
DATA
STRUCTURES
39
4.1
STRUCTURES
.
39
4.2
ENUMERATIONS
.
40
4.3
SCOPE
RESOLUTION
.
40
4.4
UNIONS
.
41
4.5
BIT
AND
SHIFT
OPERATIONS
AND
BIT-FIELDS
.
41
4.6
LOGICAL
VALUES
AND
CONDITIONALS
.
42
4.7
LOOPS
.
44
4.8
EXCEPTION
HANDLING
.
45
4.9
SWITCHES
.
46
5
ARRAYS
AND
POINTERS
49
5.1
VECTORS
AND
MATRICES
.
49
5.2
POINTERS
.
51
5.3
VECTORS
VS.
POINTERS
.
52
5.4
POINTER
OPERATIONS
AND
ALLOCATION
.
52
5.5
POINTER
TO
STRUCTURES
.
53
VI
CONTENTS
5.6
STRINGS
.
55
5.7
POINTER
AND
ARRAY
ARGUMENTS
.
55
5.8
POINTER
TO
POINTER
.
56
5.9
COMMAND
LINE
ARGUMENTS
.
57
6
C++
AS
A
BETTER
C
59
6.1
TYPE
DECLARATION
.
59
6.2
TYPE
CONVERSION
FOR
POINTERS
.
59
6.3
TYPE
SPECIFIERS
AND
VARIABLE
DECLARATION
.
60
6.4
TYPE-SAFE
LINKAGE
.
62
6.5
OVERLOADED
FUNCTION
NAMES
.
63
6.6
RETURN
VALUE
AND
ARGUMENTS
.
63
6.7
MACROS
AND
INLINE
FUNCTIONS
.
65
6.8
FUNCTION
POINTERS
.
.
66
6.9
COMMA
OPERATOR
AND
CONDITIONAL
EXPRESSIONS
.
66
7
STATISTICS
FOR
PATTERN
RECOGNITION
69
7.1
AXIOMS
.
69
7.2
RANDOM
VARIABLES
.
70
7.3
MOMENTS
OF
A
DISTRIBUTION
.
73
7.4
GENERATING
RANDOM
VARIABLES
.
75
7.5
RANDOM
VECTORS
.
77
7.6
INDEPENDENCE
AND
MARGINAL
DENSITIES
.
78
7.7
MIXTURES
.
79
7.8
STATISTICAL
FEATURES
AND
ENTROPY
.
80
7.9
SIGNAL-TO-NOISE
RATIO
.
81
8
CLASSIFICATION
AND
PATTERN
ANALYSIS
83
8.1
CLASSIFICATION
.
83
8.2
PREPROCESSING
.
84
8.3
FEATURE
EXTRACTION
.
85
8.4
LEARNING
.
85
8.5
ANALYSIS
.
86
8.6
SEGMENTATION
.
86
8.7
PATTERN
UNDERSTANDING
.
89
8.8
ACTIVE
VISION
AND
REAL
TIME
PROCESSING
.
90
8.9
SOFTWARE
SYSTEMS
.
91
CONTENTS
VII
PART
II
OBJECT-ORIENTED
PROGRAMMING
93
9
OBJECT-ORIENTED
PROGRAMMING
95
9.1
OBJECT-ORIENTED
SOFTWARE
TECHNIQUES
.
95
9.2
BASIC
VOCABULARY
.
96
9.3
DATA
ABSTRACTION
AND
MODULES
.
97
9.4
INHERITANCE
.
98
9.5
TEMPLATES
.
99
9.6
ABSTRACT
CLASSES
.
100
9.7
OBJECT-ORIENTED
CLASSIFICATION
.
100
9.8
POLYMORPHISM
.
101
9.9
OBJECT-ORIENTED
PROGRAMMING
LANGUAGES
.
101
10
CLASSES
IN
C++
103
10.1
METHODS
AND
ADT
'
S
.
103
10.2
CLASS
DECLARATIONS
.
105
10.3
OBJECT
CONSTRUCTION
.
106
10.4
DESTRUCTION
OF
OBJECTS
.
107
10.5
OPERATORS
.
108
10.6
USER-DEFINED
CONVERSION
.
109
10.7
ADVANCED
METHODS
AND
CONSTRUCTORS
.
110
10.8
VECTOR
CLASS
.
ILL
10.9
CLASS
DESIGN
.
113
11
REPRESENTATION
OF
SIGNALS
115
11.1
ARRAY
CLASS
.
115
11.2
TEMPLATES
IN
C++
.
117
11.3
IMAGES
.
118
11.4
EXTERNAL
DATA
FORMATS
.
119
11.5
BINARY
IMAGES
.
121
11.6
COLOR
IMAGES
.
121
11.7
SUBIMAGES
.
123
11.8
MATRIX
OPERATIONS
.
124
11.9
SPEECH
SIGNAL
CLASS
.
125
12
SIGNALS
AND
IMAGES
127
12.1
SYNTHETIC
SOUND
.
127
12.2
GEOMETRIC
PATTERNS
.
128
12.3
NOISE
SIGNALS
.
128
12.4
COMBINATION
OF
SIGNALS
.
130
12.5
SIMPLE
IMAGE
MANIPULATION
.
131
12.6
2-D
VIEWS
OF
3-D
POLYHEDRAL
OBJECTS
.
131
12.7
SINGLE
STEREO
IMAGES
.
133
12.8
TEXTURES
.
134
12.9
AUDIO
AND
VIDEO
DEVICES
.
135
13
FOURIER
TRANSFORM
137
13.1
INTRODUCTORY
CONSIDERATIONS
.
137
13.2
FOURIER
SERIES
.
138
13.3
FOURIER
TRANSFORM
.
140
13.4
DISCRETE
FOURIER
TRANSFORM
.
144
13.5
COMPLEX
NUMBER
CLASS
.
145
VIII
CONTENTS
13.6
INVERSE
DISCRETE
FOURIER
TRANSFORM
146
13.7
FOURIER
TRANSFORMS
OF
SPEECH
SIGNALS
.
147
13.8
FAST
FOURIER
TRANSFORM
.
148
13.9
2-D
FOURIER
TRANSFORM
.
150
14
INHERITANCE
FOR
CLASSES
153
14.1
MOTIVATION
AND
SYNTAX
.
153
14.2
ACCESS
TO
MEMBERS
OF
BASE
CLASSES
.
154
14.3
CONSTRUCTION
AND
DESTRUCTION
.
155
14.4
POINTERS
TO
OBJECTS
.
156
14.5
VIRTUAL
FUNCTIONS
.
158
14.6
ABSTRACT
CLASSES
.
159
14.7
IMAGE
CLASS
HIERARCHY
.
160
14.8
MULTIPLE
INHERITANCE
.
161
14.9
IMPLEMENTATION
ISSUES
.
163
15
EDGE
IMAGES
165
15.1
STRATEGIES
.
165
15.2
DISCRETE
DERIVATIVES
OF
INTENSITY
FUNCTIONS
.
166
15.3
MASK
OPERATORS
.
168
15.4
DISCRETE
DIRECTIONS
.
169
15.5
EDGE
CLASS
.
171
15.6
EDGE
IMAGES
.
173
15.7
ROBERT
'
S
CROSS
.
173
15.8
SECOND
DERIVATIVE
.
174
15.9
COLOR
EDGE
OPERATORS
.
176
16
CLASS
LIBRARIES
179
16.1
STREAM
INPUT
AND
OUTPUT
.
179
16.2
NATIONAL
INSTITUTES
OF
HEALTH
CLASS
LIBRARY
.
181
16.3
INPUT
AND
OUTPUT
FOR
OBJECTS
.
184
16.4
FREQUENTLY
USED
CLASSES
.
186
16.5
COLLECTION
CLASSES
.
187
16.6
MEMORY
ALLOCATION
.
189
16.7
STANDARD
TEMPLATE
LIBRARY
.
191
16.8
ADVANCED
C++
FEATURES
.
194
16.9
TEMPLATES
VS.
INHERITANCE
.
196
CONTENTS
IX
PART
III
PATTERN
ANALYSIS
199
17
FILTERING
AND
SMOOTHING
SIGNALS
201
17.1
LINEAR
FILTERS
.
201
17.2
RANK
ORDER
OPERATIONS
.
203
17.3
EDGE
PRESERVING
FILTERS
.
204
17.4
ELIMINATION
OF
NOISY
IMAGE
ROWS
.
207
17.5
RESIZING
AN
IMAGE
.
208
17.6
RESOLUTION
HIERARCHIES
.
209
17.7
GEOMETRIC
DISTORTIONS
.
210
17.8
POLYMORPHIC
IMAGE
PROCESSING
.
211
17.9
IMAGE
OPERATOR
HIERARCHY
.
214
18
HISTOGRAM
ALGORITHMS
217
18.1
DISCRIMINANT
ANALYSIS
THRESHOLD
.
217
18.2
HISTOGRAM
ENTROPY
THRESHOLDING
.
220
18.3
MULTI-THRESHOLDING
.
220
18.4
GLOBAL
HISTOGRAM
EQUALIZATION
.
221
18.5
LOCAL
HISTOGRAM
EQUALIZATION
.
223
18.6
LOOK-UP
TABLE
TRANSFORMATION
.
224
18.7
HISTOGRAM
CLASSES
.
225
18.8
COLOR
QUANTIZATION
.
226
18.9
HISTOGRAM
BACK-PROJECTION
.
227
19
EDGES
AND
LINES
231
19.1
MORE
EDGE
DETECTORS
.
231
19.2
EDGE
THINNING
.
233
19.3
LINE
DETECTION
.
238
19.4
HYSTERESIS
THRESHOLDS
.
239
19.5
CLOSING
OF
GAPS
.
241
19.6
ZERO-CROSSINGS
IN
LAPLACE
IMAGES
.
241
19.7
HOUGH
TRANSFORM
.
243
19.8
CIRCLE
DETECTION
.
246
19.9
OPTIMAL
LINE
DETECTION
.
249
20
IMAGE
SEGMENTATION
251
20.1
CHAIN
CODE
CLASS
.
251
20.2
EDGES
.
252
20.3
CHAIN
CODE
ALGORITHMS
.
254
20.4
NEIGHBORHOOD
.
258
20.5
CONTOURS
IN
BINARY
IMAGES
.
259
20.6
POLYGON
REPRESENTATION
.
260
20.7
REGION
SEGMENTATION
.
261
20.8
POINT
SEGMENTATION
.
262
20.9
IMAGE
ANALYSIS
.
263
21
SPATIAL
AND
SPECTRAL
FEATURES
265
21.1
DIFFERENT
TYPES
OF
FEATURES
.
265
21.2
FRAMES
AND
BLOCKS
.
266
21.3
SPATIAL
FEATURES
.
268
21.4
SHORT
TIME
FOURIER
ANALYSIS
.
270
21.5
CEPSTRAL
FEATURES
.
274
X
CONTENTS
21.6
MEL
SPECTRAL
AND
CEPSTRAL
FEATURES
.
.
275
21.7
LINEAR
PREDICTIVE
CODING
.
277
21.8
MODEL
SPECTRUM
AND
CEPSTRUM
.
280
21.9
IMPLEMENTATION
ISSUES
.
281
22
NUMERICAL
PATTERN
CLASSIFICATION
283
22.1
GENERAL
NOTES
ON
CLASSIFIERS
.
284
22.2
DESIGN
OF
CLASSIFIERS
.
285
22.3
LINEAR
DISCRIMINANTS
.286
22.4
POLYNOMIAL
CLASSIFIERS
.
290
22.5
BAYESIAN
CLASSIFIERS
.
290
22.6
PROPERTIES
OF
BAYESIAN
CLASSIFIERS
.
292
22.7
FROM
BAYESIAN
TO
GEOMETRIC
CLASSIFIERS
.
294
22.8
NEAREST
NEIGHBOR
CLASSIFIER
.
295
22.9
IMPLEMENTATION
OF
CLASSIFIERS
.
297
23
SPEECH
RECOGNITION
299
23.1
CLASSIFICATION
OF
SPEECH
SIGNALS
.
299
23.2
DYNAMIC
TIME
WARPING
.
300
23.3
MIXTURE
DENSITIES
.
306
23.4
HIDDEN-MARKOV-MODELS
.
310
23.5
TOPOLOGICAL
AND
STATISTICAL
VARIATIONS
.
314
23.6
INCOMPLETE
DATA
ESTIMATION
.
315
23.7
LEARNING
FROM
MULTIPLE
OBSERVATIONS
.
317
23.8
HIDDEN-MARKOV-MODEL
CLASSES
.
320
23.9
STATISTICAL
AND
NEURAL
SPEECH
UNDERSTANDING
.
322
24
AN
IMAGE
ANALYSIS
SYSTEM
325
24.1
DESIGN
OF
PUMA
AND
ANIMALS
.
325
24.2
HIERARCHY
OF
PICTURE
PROCESSING
OBJECTS
.
327
24.3
SEGMENTATION
OBJECTS
.
332
24.4
EXTERNAL
REPRESENTATION
.
334
24.5
GRAPHICAL
USER
INTERFACES
.
335
24.6
DISPLAY
.
337
24.7
COMPUTER
VISION
.
337
24.8
OBJECT
RECOGNITION
.
338
24.9
MODEL-BASED
IMAGE
ANALYSIS
.
340
INDEX
CONTENTS
XI
PART
IV
APPENDIX
343
A
SOFTWARE
DEVELOPMENT
TOOLS
345
A.L
GROUPS
AND
ID
'
S
WITH
UNIX
.
345
A.2
PROGRAM
BUILDING
WITH
MAKE
.
346
A.3
THE
USE
OF
LIBRARIES
.
347
A.4
VERSION
AND
ACCESS
CONTROL
.
348
A.5
TEAMWORK
.
349
A.6
SHELL
.
349
A.7
SED
.
350
A.8
AWK
.
350
A.9
PERL
.
350
B
SOURCE
CODE
AND
TOOLS
351
B.L
LIST
OF
TOOLS
.
351
B.2
PORTABLE
IMAGE
FORMAT
.
351
B.3
HOW
TO
GET
THE
SOURCES
.
352
B.4 IMAGE
DISPLAY
.
352
B.5
COURSE
MATERIAL
.
352
B.6
ADDRESSES
.
353
B.7
HEADERS
AND
SOURCE
FILES
.
353
B.8
IMAGES
.
355
C
FORMULAS
356
C.L
LOOKUP
TABLE
TRANSFORMATION
.
356
C.2 MARGINAL
DENSITY
.
356
C.3
IDENTITY
.
357
C.4
PROPERTY
OF
THE
//-FUNCTION
.
357
C.5
LAGRANGE
MULTIPLIER
.
358
C.6
NOTATION
.
359
BIBLIOGRAPHY
360
FIGURES
368
TABLES
373
LIST
OF
PROGRAMS
374
375 |
| any_adam_object | 1 |
| author | Paulus, Dietrich 1959- Hornegger, Joachim 1967- |
| author_GND | (DE-588)11281610X (DE-588)114804893 |
| author_facet | Paulus, Dietrich 1959- Hornegger, Joachim 1967- |
| author_role | aut aut |
| author_sort | Paulus, Dietrich 1959- |
| author_variant | d p dp j h jh |
| building | Verbundindex |
| bvnumber | BV013703173 |
| callnumber-first | T - Technology |
| callnumber-label | TA1650 |
| callnumber-raw | TA1650 TK7882.P3 |
| callnumber-search | TA1650 TK7882.P3 |
| callnumber-sort | TA 41650 |
| callnumber-subject | TA - General and Civil Engineering |
| classification_rvk | ST 306 ST 330 |
| ctrlnum | (OCoLC)248354251 (DE-599)BVBBV013703173 |
| discipline | Informatik |
| edition | 3. ed. |
| format | Book |
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| id | DE-604.BV013703173 |
| illustrated | Illustrated |
| indexdate | 2024-08-14T04:00:24Z |
| institution | BVB |
| isbn | 3528255587 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-009365620 |
| oclc_num | 248354251 |
| open_access_boolean | |
| owner | DE-29T DE-703 DE-863 DE-BY-FWS DE-11 |
| owner_facet | DE-29T DE-703 DE-863 DE-BY-FWS DE-11 |
| physical | XII, 380 S. Ill., graph. Darst. |
| publishDate | 2001 |
| publishDateSearch | 2001 |
| publishDateSort | 2001 |
| publisher | Vieweg |
| record_format | marc |
| spellingShingle | Paulus, Dietrich 1959- Hornegger, Joachim 1967- Applied pattern recognition a practical introduction to image and speech processing in C++ C++ (Langage de programmation) Reconnaissance automatique de la parole - Informatique Reconnaissance des formes (Informatique) Traitement d'images - Techniques numériques Datenverarbeitung C++ (Computer program language) Image processing Pattern perception Data processing Mustererkennung (DE-588)4040936-3 gnd Sprachverarbeitung (DE-588)4116579-2 gnd Objektorientierte Programmierung (DE-588)4233947-9 gnd Bildverarbeitung (DE-588)4006684-8 gnd Automatische Spracherkennung (DE-588)4003961-4 gnd C++ (DE-588)4193909-8 gnd |
| subject_GND | (DE-588)4040936-3 (DE-588)4116579-2 (DE-588)4233947-9 (DE-588)4006684-8 (DE-588)4003961-4 (DE-588)4193909-8 |
| title | Applied pattern recognition a practical introduction to image and speech processing in C++ |
| title_auth | Applied pattern recognition a practical introduction to image and speech processing in C++ |
| title_exact_search | Applied pattern recognition a practical introduction to image and speech processing in C++ |
| title_full | Applied pattern recognition a practical introduction to image and speech processing in C++ Dietrich W. R. Paulus ; Joachim Hornegger |
| title_fullStr | Applied pattern recognition a practical introduction to image and speech processing in C++ Dietrich W. R. Paulus ; Joachim Hornegger |
| title_full_unstemmed | Applied pattern recognition a practical introduction to image and speech processing in C++ Dietrich W. R. Paulus ; Joachim Hornegger |
| title_short | Applied pattern recognition |
| title_sort | applied pattern recognition a practical introduction to image and speech processing in c |
| title_sub | a practical introduction to image and speech processing in C++ |
| topic | C++ (Langage de programmation) Reconnaissance automatique de la parole - Informatique Reconnaissance des formes (Informatique) Traitement d'images - Techniques numériques Datenverarbeitung C++ (Computer program language) Image processing Pattern perception Data processing Mustererkennung (DE-588)4040936-3 gnd Sprachverarbeitung (DE-588)4116579-2 gnd Objektorientierte Programmierung (DE-588)4233947-9 gnd Bildverarbeitung (DE-588)4006684-8 gnd Automatische Spracherkennung (DE-588)4003961-4 gnd C++ (DE-588)4193909-8 gnd |
| topic_facet | C++ (Langage de programmation) Reconnaissance automatique de la parole - Informatique Reconnaissance des formes (Informatique) Traitement d'images - Techniques numériques Datenverarbeitung C++ (Computer program language) Image processing Pattern perception Data processing Mustererkennung Sprachverarbeitung Objektorientierte Programmierung Bildverarbeitung Automatische Spracherkennung C++ |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=009365620&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| work_keys_str_mv | AT paulusdietrich appliedpatternrecognitionapracticalintroductiontoimageandspeechprocessinginc AT horneggerjoachim appliedpatternrecognitionapracticalintroductiontoimageandspeechprocessinginc |
Inhaltsverzeichnis
THWS Würzburg Zentralbibliothek Lesesaal
| Signatur: |
1000 ST 330 P333(3) |
|---|---|
| Exemplar 1 | ausleihbar Verfügbar Bestellen |