Solving complicated AI tasks with different domains and modalities is a key step toward
artificial general intelligence. While there are numerous AI models available for various …

Abstract Deep Neural Networks (DNN) are nothing but neural networks with many hidden
layers. DNNs are becoming popular in automatic speech recognition tasks which combines …

The problem of automatically generating a computer program from some specification has
been studied since the early days of AI. Recently, two competing approaches forautomatic …

Market_Desc:· Senior and Graduate level courses· Professionals in Computer Science and
Electrical Engineering· Researchers in speech recognition, optical character recognition …

Although a number of normalized edit distances presented so far may offer good
performance in some applications, none of them can be regarded as a genuine metric …

The problem of inducing, learning or inferring grammars has been studied for decades, but
only in recent years has grammatical inference emerged as an independent field with …

Inexact graph matching has been one of the significant research foci in the area of pattern
analysis. As an important way to measure the similarity between pairwise graphs error …

In many applications, it is necessary to determine the similarity of two strings. A widely-used
notion of string similarity is the edit distance: the minimum number of insertions, deletions …

Much of the existing work on action recognition combines simple features with complex
classifiers or models to represent an action. Parameters of such models usually do not have …

The task of similarity search is widely used in various areas of computing, including
multimedia databases, data mining, bioinformatics, social networks, etc. In fact, retrieval of …