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Nov 20, 2018
Machine Learning
Computer Vision

A Semi-supervised Spatial Spectral Regularized Manifold Local Scaling…

Hyperspectral images (HSI) contain a wealth of information over hundreds of contiguous spectral bands, making it possible to classify materials throu…
Nov 14, 2017
Systems and Control

A Family of Constrained Adaptive filtering Algorithms Based on Loga…

This paper introduces a novel constraint adaptive filtering algorithm based on a relative logarithmic cost function which is termed as Constrained Le…
Sep 29, 2018
Machine Learning
Cryptography and Security

Adversarial Attacks and Defences: A Survey

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…
Sep 03, 2018
Computer Vision

Convolutional Neural Networkfor Trajectory Prediction

Predicting trajectories of pedestrians is quintessential for autonomous robots which share the same environment with humans. In order to effectively …
Feb 15, 2018
Machine Learning

Designing Random Graph Models Using Variational Autoencoders With A…

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…
Jun 04, 2019
Computer Vision
Machine Learning

KarNet: An Efficient Boolean Function Simplifier

Many approaches such as Quine-McCluskey algorithm, Karnaugh map solving, Petrick's method and McBoole's method have been devised to simplify Boolean …
Jun 13, 2019
Computation and Language

Improved Sentiment Detection via Label Transfer from Monolingual to …

Multilingual writers and speakers often alternate between two languages in a single discourse, a practice called "code-switching". Existing sentiment…
Jun 15, 2019
Computer Vision

RECAL: Reuse of Established CNN classifer Apropos unsupervised Learni…

Recently, clustering with deep network framework has attracted attention of several researchers in the computer vision community. Deep framework gain…
Jun 10, 2019
Machine Learning

Unit Impulse Response as an Explainer of Redundancy in a Deep Convo…

Convolutional neural networks (CNN) are generally designed with a heuristic initialization of network architecture and trained for a certain task. Th…
Jul 21, 2017
Computation and Language

A Sentiment-and-Semantics-Based Approach for Emotion Detection in T…

Emotions are physiological states generated in humans in reaction to internal or external events. They are complex and studied across numerous fields…
Aug 04, 2016
Computation and Language

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…

UsingWord Embeddings for Query Translation for Hindi to English Cross…

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…
Dec 05, 2016
Systems and Control
Robotics

Modeling and Control of an Autonomous Three Wheeled Mobile Robot with…

Modeling and control strategies for a design of an autonomous three wheeled mobile robot with front wheel steer is presented. Although, the three-whe…
Dec 10, 2008

The Local Dimension: a method to quantify the Cosmic Web

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 …
Aug 16, 2018
Social and Information Networks

A Survey on Influence Maximization in a Social Network

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…
Jun 21, 2019
Computation and Language

A Deep Generative Model for Code-Switched Text

Code-switching, the interleaving of two or more languages within a sentence or discourse is pervasive in multilingual societies. Accurate language mo…
Jan 10, 2018
Robotics

Design, Analysis & Prototyping of a Semi-Automated Staircase-Climbing…

In this paper, we describe the mechanical design, system overview, integration and control techniques associated with SKALA, a unique large-sized rob…
Aug 08, 2018
Social and Information Networks
Physics and Society

On Rich Clubs of Path-Based Centralities in Networks

Many scale-free networks exhibit a rich club structure, where high degree vertices form tightly interconnected subgraphs. In this paper, we explore t…
Jan 27, 2020
Computation and Language
Machine Learning

The POLAR Framework: Polar Opposites Enable Interpretability of Pre…

We introduce POLAR - a framework that adds interpretability to pre-trained word embeddings via the adoption of semantic differentials. Semantic diffe…
Sep 06, 2019
Machine Learning

Regression Under Human Assistance

Decisions are increasingly taken by both humans and machine learning models. However, machine learning models are currently trained for full automati…
Jan 10, 2018
Robotics

Design, Analysis & Prototyping of a Semi-Automated Staircase-Climbing…

In this paper, we describe the mechanical design, system overview, integration and control techniques associated with SKALA, a unique large-sized rob…
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