



Free Calculus: A Liberation from Concepts and ProofsConventional calculus is too hard and too complex. Students are forced to learn too many theorems and proofs. In Free Calculus, the author suggests a direct approach to the two fundamental concepts of calculus  differentiation and integration  using two inequalities. Regular calculus is condensed into a single concise chapter. This makes the...   Introduction To Digital Signal Processing: Computer Musically Speaking
This book offers an introduction to digital signal processing (DSP) with an emphasis on audio signals and computer music. It covers the mathematical foundations of DSP, important DSP theories including sampling, LTI systems, the ztransform, FIR/IIR filters, classic sound synthesis algorithms, various digital effects, topics in time and...   Topics In Probability
In this monograph we treat some topics that have been of some
importance and interest in probability theory. These include, in
particular, analytic characteristic functions, the moment problem,
infinitely divisible and selfdecomposable distributions.
Recent research in probability has been concerned with applications such... 

Neural Networks and Computing: Learning Algorithms and Applications
The area of Neural computing that we shall discuss in this book represents a combination of techniques of classical optimization, statistics, and information theory. Neural network was once widely called artificial neural networks, which represented how the emerging technology was related to artificial intelligence. It once was a topic that...   Mathematics and Computation in Imaging Science and Information Processing
Rapid advances in communication, sensing and computational power have led to an explosion of data. The usefulness of this resource for human knowledge is determined by its accessibility and portability, which present fresh challenges to existing techniques in terms of transmission, storage, querying, display and numerical manipulation. As a...   Advanced Calculus: An Introduction to Mathematical Analysis
This work is an introduction to mathematical analysis at an elementary level. Emphasis is given to the construction of national and then real numbers, using the method of equivalence classes and of Cauchy sequences. The text includes the presentation of: sequences of real numbers, infinite numerical series, continuous functions, deriviatives... 

Advances in Artificial Intelligence for Privacy Protection and Security
In this book, we aim to collect the most recent advances in artificial intelligence techniques (i.e. neural networks, fuzzy systems, multiagent systems, genetic algorithms, image analysis, clustering, etc), which are applied to the protection of privacy and security. The symbiosis between these fields leads to a pool of invigorating ideas,...   Pattern Recognition From Classical to Modern Approaches
Recognizing patterns is at the core of man's attempts to understand the universe that we inhabit. Through the development of sensors and instruments, we have extended our ability to gather data far beyond the range and scale of man's natural senses. As a result we are now able to gather data on phenomena occurring in the far reaches...   

Handbook of Pattern Recognition and Computer VisionDedicated to the memory of the late Professor King Sun Fu (19301985), the handbook series, with first edition (1993), second edition (1999) and third edition (2005), provides a comprehensive, concise and balanced coverage of the progress and achievements in the field of pattern recognition and computer vision in the last twenty years. This is a...   Graph Classification and Clustering Based on Vector Space Embedding
Due to the ability of graphs to represent properties of entities and binary relations at the same time, a growing interest in graph based object repre sentation can be observed in science and engineering. Yet, graphs are still not the common data structure in pattern recognition and related fields. The reason for this is twofold. First,...   Advanced Artificial Intelligence (Series on Intelligence Science)
Artificial Intelligence's longterm goal is to build the human level of artificial
intelligence. AI was born 50 years ago, in the bumpy road has made encouraging
progress, in particular, machine learning, data mining, computer vision, expert
systems, natural language processing, planning, robotics and related applications
have... 


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