Hyperspectral images (HSI) contain a wealth of information over hundreds of contiguous spectral bands, making it possible to classify materials throu…
This paper introduces a novel constraint adaptive filtering algorithm based on a relative logarithmic cost function which is termed as Constrained Le…
Deep learning has emerged as a strong and efficient framework that can be applied to a broad spectrum of complex learning problems which were difficu…
Predicting trajectories of pedestrians is quintessential for autonomous robots which share the same environment with humans. In order to effectively …
Deep generative models have been praised for their ability to learn smooth latent representation of images, text, and audio, which can then be used t…
Many approaches such as Quine-McCluskey algorithm, Karnaugh map solving, Petrick's method and McBoole's method have been devised to simplify Boolean …
Multilingual writers and speakers often alternate between two languages in a single discourse, a practice called "code-switching". Existing sentiment…
Recently, clustering with deep network framework has attracted attention of several researchers in the computer vision community. Deep framework gain…
Convolutional neural networks (CNN) are generally designed with a heuristic initialization of network architecture and trained for a certain task. Th…
Emotions are physiological states generated in humans in reaction to internal or external events. They are complex and studied across numerous fields…
Cross-Language Information Retrieval (CLIR) has become an important problem to solve in the recent years due to the growth of content in multiple languages in the Web. One of the standard methods is to use query translation from source to target lan…
Cross-Language Information Retrieval (CLIR) has become an important problem to solve in the recent years due to the growth of content in multiple lan…
Modeling and control strategies for a design of an autonomous three wheeled mobile robot with front wheel steer is presented. Although, the three-whe…
It is now well accepted that the galaxies are distributed in filaments, sheets and clusters all of which form an interconnected network known as the …
Given a social network with diffusion probabilities as edge weights and an integer k, which k nodes should be chosen for initial injection of informa…
Code-switching, the interleaving of two or more languages within a sentence or discourse is pervasive in multilingual societies. Accurate language mo…
In this paper, we describe the mechanical design, system overview, integration and control techniques associated with SKALA, a unique large-sized rob…
Many scale-free networks exhibit a rich club structure, where high degree vertices form tightly interconnected subgraphs. In this paper, we explore t…
We introduce POLAR - a framework that adds interpretability to pre-trained word embeddings via the adoption of semantic differentials. Semantic diffe…
Decisions are increasingly taken by both humans and machine learning models. However, machine learning models are currently trained for full automati…
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