Pattern Recognition And Big Data / Amita Pal

By:

Pal, Amita

Contributor(s):

Pal, Sankar K

Material type: Text

TextLanguage: English Publication details: Chennai : World Scientific Publishing, 2020Description: xviii, 856 p. : ill. ; 25 cmISBN:

9789813144545
9780000988973

Uniform titles:

Pattern Recognition And Big Data

Subject(s):

DDC classification:

23 006.4 PAL

Contents:

Pattern recognition: evolution, mining and big data / A. Pal and S.K. Pal Pattern classification with Gaussian processes / V. Stathopoulos and M. Girolami Active multitask learning using supervised and shared latent topics / A. Acharya, R.J. Mooney and J. Ghosh Sparse and low-rank models for visual domain adaptation / R. Chellappa and V.M. Patel Pattern classification using the principle of parsimony: two examples / J. Basak Robust learning of classifiers in the presence of label noise / P.S. Sastry and N. Manwani Sparse representation for time-series classification / S. Bahrampour, N.M. Nasrabadi and A. Ray Fuzzy sets as a logic canvas for pattern recognition / W. Pedryez and N.J. Pizzi Optimizing neural network structures to match pattern recognition task complexity / B.G. Gherman, K. Sirlantzis and F. Deravi Multi-criterion optimization and decision making using evolutionary computing / K. Deb Rough sets in pattern recognition / A. Skowron, H.S. Nguyen and A. Jankowski The twin SVM minimizes the total risk / Jayadeva, S. Soman and S. Chandra Dynamic kernels based approaches to analysis of varying length patterns in speech and image processing tasks / Veena T., Dileep A.D. and C. Chandra Sekhar Fuzzy rough granular neural networks for pattern analysis / A. Ganivada, S.S. Ray and S.K. Pal Fundamentals of rough-fuzzy clustering and its application in bioinformatics / P. Maji and S. Paul Keygraphs: structured features for object detection and applications / M. Hashimoto, H. Morimitsu, R. Hirata-Jr. and R.M. Cesar-Jr Mining multimodal data / S. Chaudhury, L. Dey, I. Verma and E. Hassan Solving classification problems on human epithelial type 2 cells for anti-nuclear antibodies test: traditional versus contemporary approaches / A. Wiliem and B.C. Lovell Representation learning for spoken term detection / P.R. Reddy, K.S.R. Murty and B. Yegnanarayana Tongue pattern recognition to detect diabetes mellitus and non-proliferative diabetic retinopathy / B. Zhang Moving object detection using multi-layer Markov random field model / B.N. Subudhi, S. Ghosh and A. Ghosh Recent advances in remote sensing time series image classification / L. Bruzzone, B. Demir and F. Bovolo Sensor selection for E-Nose / Sunil T.T., S. Chaudhuri and M.U. Sharma Understanding the usage of idioms in Twitter social network / K. Rudra, A. Chakraborty, N. Ganguly and S. Ghosh Sampling theorems for Twitter: ideas from large deviation theory / D. Palguna, V. Joshi, V. Chakravarthy, R. Kothari and L.V. Subramaniam A machine-mind architecture and Z@*-numbers for real-world comprehension / R. Banerjee and S.K. Pal

Summary: Containing twenty six contributions by experts from all over the world, this book presents both research and review material describing the evolution and recent developments of various pattern recognition methodologies, ranging from statistical, linguistic, fuzzy-set-theoretic, neural, evolutionary computing and rough-set-theoretic to hybrid soft computing, with significant real-life applications.Pattern Recognition and Big Data provides state-of-the-art classical and modern approaches to pattern recognition and mining, with extensive real life applications. The book describes efficient soft and robust machine learning algorithms and granular computing techniques for data mining and knowledge discovery; and the issues associated with handling Big Data. Application domains considered include bioinformatics, cognitive machines (or machine mind developments), biometrics, computer vision, the e-nose, remote sensing and social network analysis.

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Holdings
Item type	Current library	Call number	Status	Date due	Barcode
Text Books	CUTN Central Library Generalia	006.4 PAL (Browse shelf(Opens below))	Available		47787

Reprinted in India: 2020, and 2022

Pattern recognition: evolution, mining and big data / A. Pal and S.K. Pal
Pattern classification with Gaussian processes / V. Stathopoulos and M. Girolami
Active multitask learning using supervised and shared latent topics / A. Acharya, R.J. Mooney and J. Ghosh
Sparse and low-rank models for visual domain adaptation / R. Chellappa and V.M. Patel
Pattern classification using the principle of parsimony: two examples / J. Basak
Robust learning of classifiers in the presence of label noise / P.S. Sastry and N. Manwani
Sparse representation for time-series classification / S. Bahrampour, N.M. Nasrabadi and A. Ray
Fuzzy sets as a logic canvas for pattern recognition / W. Pedryez and N.J. Pizzi
Optimizing neural network structures to match pattern recognition task complexity / B.G. Gherman, K. Sirlantzis and F. Deravi
Multi-criterion optimization and decision making using evolutionary computing / K. Deb
Rough sets in pattern recognition / A. Skowron, H.S. Nguyen and A. Jankowski
The twin SVM minimizes the total risk / Jayadeva, S. Soman and S. Chandra
Dynamic kernels based approaches to analysis of varying length patterns in speech and image processing tasks / Veena T., Dileep A.D. and C. Chandra Sekhar
Fuzzy rough granular neural networks for pattern analysis / A. Ganivada, S.S. Ray and S.K. Pal
Fundamentals of rough-fuzzy clustering and its application in bioinformatics / P. Maji and S. Paul
Keygraphs: structured features for object detection and applications / M. Hashimoto, H. Morimitsu, R. Hirata-Jr. and R.M. Cesar-Jr
Mining multimodal data / S. Chaudhury, L. Dey, I. Verma and E. Hassan
Solving classification problems on human epithelial type 2 cells for anti-nuclear antibodies test: traditional versus contemporary approaches / A. Wiliem and B.C. Lovell
Representation learning for spoken term detection / P.R. Reddy, K.S.R. Murty and B. Yegnanarayana Tongue pattern recognition to detect diabetes mellitus and non-proliferative diabetic retinopathy / B. Zhang
Moving object detection using multi-layer Markov random field model / B.N. Subudhi, S. Ghosh and A. Ghosh
Recent advances in remote sensing time series image classification / L. Bruzzone, B. Demir and F. Bovolo
Sensor selection for E-Nose / Sunil T.T., S. Chaudhuri and M.U. Sharma
Understanding the usage of idioms in Twitter social network / K. Rudra, A. Chakraborty, N. Ganguly and S. Ghosh
Sampling theorems for Twitter: ideas from large deviation theory / D. Palguna, V. Joshi, V. Chakravarthy, R. Kothari and L.V. Subramaniam
A machine-mind architecture and Z@*-numbers for real-world comprehension / R. Banerjee and S.K. Pal

Containing twenty six contributions by experts from all over the world, this book presents both research and review material describing the evolution and recent developments of various pattern recognition methodologies, ranging from statistical, linguistic, fuzzy-set-theoretic, neural, evolutionary computing and rough-set-theoretic to hybrid soft computing, with significant real-life applications.Pattern Recognition and Big Data provides state-of-the-art classical and modern approaches to pattern recognition and mining, with extensive real life applications. The book describes efficient soft and robust machine learning algorithms and granular computing techniques for data mining and knowledge discovery; and the issues associated with handling Big Data. Application domains considered include bioinformatics, cognitive machines (or machine mind developments), biometrics, computer vision, the e-nose, remote sensing and social network analysis.

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