Multimodal Behavioral Analysis in the Wild: Advances and Challenges presents the state-of-the-art in behavioral signal processing using different data modalities, with a special focus on identifying the strengths and limitations of current technologies. The book focuses on audio…
On the classification of independent components for biomedical signals de-noising: two study cases -- Pattern recognition applied to the analysis of genomic data and its association to diseases -- Image analysis method for the detection of Chagas parasite in blood image -- Monit…
This book covers pattern recognition techniques applied to various areas of biomedicine, including disease diagnosis and prognosis, and several problems of classification, with a special focus on-but not limited to-pattern recognition modeling of biomedical signals and images. M…
This book covers pattern recognition techniques applied to various areas of biomedicine, including disease diagnosis and prognosis, and several problems of classification, with a special focus on--but not limited to--pattern recognition modeling of biomedical signals and images.…
This text collects a substantial amount of work on the topic of channel representations. Channel representations are a biologically motivated, wavelet-like approach to visual feature descriptors : they are local and compact, they form a computational framework, and the represent…
This text collects a substantial amount of work on the topic of channel representations. Channel representations are a biologically motivated, wavelet-like approach to visual feature descriptors: they are local and compact, they form a computational framework, and the represente…
Visual pattern analysis is a fundamental tool in mining data for knowledge. Computational representations for patterns and texture allow us to summarize, store, compare, and label in order to learn about the physical world. Our ability to capture visual imagery with cameras and …
This book discusses email spam detection and its challenges such as text classification and categorization. The book proposes an efficient spam detection technique that is a combination of Character Segmentation and Recognition and Classification (CSRC). The author describes how…
Fundamentals of Pattern Recognition and Machine Learning is designed for a one or two-semester introductory course in Pattern Recognition or Machine Learning at the graduate or advanced undergraduate level. The book combines theory and practice and is suitable to the classroom a…
Fundamentals of Pattern Recognition and Machine Learning is designed for a one or two-semester introductory course in Pattern Recognition or Machine Learning at the graduate or advanced undergraduate level. The book combines theory and practice and is suitable to the classroom a…
"This book addresses the major techniques of segmentation, features extraction and classification, and pattern recognition for the histopathological images as well as their use to support computer-aided systems. It also introduces the analysis of the histopathological images usi…
"This book addresses the major techniques of segmentation, features extraction and classification, and pattern recognition for the histopathological images as well as their use to support computer-aided systems. It also introduces the analysis of the histopathological images usi…
Medical imaging technologies play a significant role in visualization and interpretation methods in medical diagnosis and practice using decision making, pattern classification, diagnosis, and learning. Progressions in the field of medical imaging lead to interdisciplinary disco…
"This book addresses the major techniques of segmentation, features extraction and classification, and pattern recognition for the histopathological images as well as their use to support computer-aided systems. It also introduces the analysis of the histopathological images usi…