Support vector machine (SVM) is an optimal margin based classification technique in
machine learning. SVM is a binary linear classifier which has been extended to non-linear …

With the emerging technologies and all associated devices, it is predicted that massive
amount of data will be created in the next few years–in fact, as much as 90% of current data …

Due to the attenuation and scattering of light by water, there are many quality defects in raw
underwater images such as color casts, decreased visibility, reduced contrast, et al.. Many …

As a widely used IT service, more and more companies shift their services to cloud
datacenters. It is important for cloud service providers (CSPs) to provide cloud service …

“Nature shows us only the tail of the lion. But I do not doubt that the lion belongs to it even
though he cannot at once reveal himself because of his enormous size.”–Albert Einstein The …

The extraction of useful insights from text with various types of statistical algorithms is
referred to as text mining, text analytics, or machine learning from text. The choice of …

This textbook explores the different aspects of data mining from the fundamentals to the
complex data types and their applications, capturing the wide diversity of problem domains …

We present a novel latent embedding model for learning a compatibility function between
image and class embeddings, in the context of zero-shot classification. The proposed …

With the ever increasing social networking and online marketing sites, the reviews and blogs
obtained from those, act as an important source for further analysis and improved decision …

Implicit feedback (eg, clicks, dwell times, etc.) is an abundant source of data in human-
interactive systems. While implicit feedback has many advantages (eg, it is inexpensive to …