The advancements in the Internet technologies, changed the service delivery model from in house delivery to delivery through Cloud. This cost effective service delivery created a greater demand for cloud and thus the cloud ...

In this research work we study the Steiner tree (ST) problem in the distributed setting. Given a connected undirected graph with non-negative edge weights and a subset of terminal nodes, the goal of the ST problem is to ...

Artificial intelligence (AI) based approaches and in particular machine learning techniques have been extensively applied in domains such as health care, computer vision, and network security to build complex and accurate ...

This Thesis explores feature extraction techniques based on local binary Patterns(LBP) for automatic face Image Analysis.

The main objective of this thesis is to explore experiments about reduction of computations involved in the Automatic Speaker Recognition (ASR) task and about generating representations for speakerrelated information from ...

With the progressive expansion of competitive e-commerce and Web resources, attention modeling is essential for Web authors, information creators, advertisers, and Web-designers to understand and predict the user attention ...

IEEE 802.11 or Fidelity has become a popular wireless technology to offer high speed Internet access at public places called the as well as to support ubiquitous Internet connectivity through institute wide wireless local ...

The rapid increase in complexity of VLSI circuits with the advent of Deep Sub-Micron (DSM) technology causes development of faults during their normal operation. Such faults cannot be detected by off-line test or Built-In-Self- ...

The efficiency of several real-time vision tasks severely degrades when presented with noisy or corrupt images or videos taken in adverse rainy or hazy weather conditions. Therefore, it is of utmost importance to propose ...

Typically an algorithm designed for carrying data mining tasks is fed with a static set of input. This class of algorithms remain prone to certain disadvantages in scenarios where the input data and extracted results change ...