Modality is a source or form of information. Through various modal information, humans can
perceive the world from multiple perspectives. Simultaneously, the observation of remote …

In recent years, improvements in hardware and software which increased the speed of
computing and production of large amounts of data that meet the needs of educational data …

To support large-scale visual recognition (ie, recognizing thousands or even tens of
thousands of object classes), a multi-level deep learning algorithm is developed to learn …

In this paper, a novel approach is developed to learn a tree of multi-task sparse metrics
hierarchically over a visual tree to achieve a fast solution to large-scale image classification …

Recently, text-to-image synthesis has achieved great progresses with the advancement of
the Generative Adversarial Network (GAN). However, training the GAN models requires a …

Existing word embeddings learning algorithms only employ the contexts of words, but
different text documents use words and their relevant parts of speech very differently. Based …

This book describes various types of image patterns for image retrieval. All these patterns
are texture dependent. Few image patterns such as Improved directional local extrema …

Data diversity is one of the main characteristics of big data, which makes a growing number
of multi-modal data. For example, in e-commerce applications, a product is often described …

Abstract Content Based Image Retrieval (CBIR) systems use Relevance Feedback (RF) in
order to improve the retrieval accuracy. Research focus has been shifted from designing …

Abstract Vision-based Sign Language Recognition has been an open research problem
since decades. Many existing methods for sign recognition works well under restricted …