The awareness and sense of privacy has increased in the minds of people over the past few years. Earlier, people were not very restrictive in sharing their personal information, but now they are more cautious in sharing ...

Face recognition under controlled and constrained scenarios have reached a significant level of maturity with respect to performance and reliability. However, under unconstrained and un controlled settings, current ...

Simultaneous latent fingerprints are a cluster of latent fingerprints that are concurrently deposited by the same person. Though ACE-V methodology provides the scientific basis for matching latent fingerprints, extending ...

In this work we highlight the evolution of Internet censorship within the largest democracy i.e., India. We first report a new form of Internet censorship i.e., mobile app blocking and describe in detail the mechanics ...

This thesis introduces the Binomial Line Process (BLP) and then Binomial Line Cox Process (BLCP) based on BLP, a novel spatial stochastic model for the charac- terization of streets in the statistical evaluation of wireless ...

Traditionally, algorithms try to find the optimal solution for a problem in a “three-phase” approach: fetch the input, run the algorithm, output the solution. But recently, there has been an interest in understanding ...

Federated learning (FL) is a popular framework for training a model in a distributed setting, where the data is spread over a network of devices. In traditional FL, the devices communicate with a central server to share ...

This thesis explores the dynamics of online algorithms, with a focus on the List Update Problem in online optimization. Our study revolves around the analysis of various algorithmic strategies, under the frameworks of ...

Ontology Learning is the semi-automatic and automatic extraction of ontology from a natural language text, using text-mining and information extraction. Each ontology primarily represents some concepts and their corresponding ...