Search Results for author:
Found 12 papers, 1 papers with code
Concept-based Anomaly Detection in Retail Stores for Automatic Correction using Mobile Robots
Tracking of inventory and rearrangement of misplaced items are some of the most labor-intensive tasks in a retail environment.
DOST -- Domain Obedient Self-supervised Training for Multi Label Classification with Noisy Labels
The enormous demand for annotated data brought forth by deep learning techniques has been accompanied by the problem of annotation noise.
DAtRNet: Disentangling Fashion Attribute Embedding for Substitute Item Retrieval
Traditional fashion search platforms incorporate product metadata between the query products and the products to be retrieved.
Unsupervised Driving Behavior Analysis using Representation Learning and Exploiting Group-based Training
Consistent groups aid in identifying variations in driving patterns of individuals captured in the dataset.
Automated Label Generation for Time Series Classification with Representation Learning: Reduction of Label Cost for Training
Time-series generated by end-users, edge devices, and different wearables are mostly unlabelled.
Hierarchical Clustering using Auto-encoded Compact Representation for Time-series Analysis
Proposed algorithm aims to address the large computing time issue of hierarchical clustering as learned latent representation AECS has a length much less than the original length of time-series and at the same time want to enhance its performance. Our algorithm exploits Recurrent Neural Network (RNN) based under complete Sequence to Sequence(seq2seq) autoencoder and agglomerative hierarchical clustering with a choice of best distance measure to recommend the best clustering.
Enabling human-like task identification from natural conversation
In this work, we provide a non-trivial method to combine an NLP engine and a planner such that a robot can successfully identify tasks and all the relevant parameters and generate an accurate plan for the task.
I can attend a meeting too! Towards a human-like telepresence avatar robot to attend meeting on your behalf
In this work, we focus on a telepresence robot that can be used to attend a meeting remotely with a group of people.
A Novel RF-assisted-Strobe System for Unobtrusive Vibration Detection of Machine Parts
In this paper, we propose a novel non-contact vibration measurement system that is competent in estimating linear and/or rotational motions of machine parts.
MOMBAT: Heart Rate Monitoring from Face Video using Pulse Modeling and Bayesian Tracking
We alleviate these issues by proposing a novel face video based HR monitoring method MOMBAT, that is, MOnitoring using Modeling and BAyesian Tracking.
Automation of Feature Engineering for IoT Analytics
Several pattern recognition principles and state of art (SoA) ML techniques are followed to design the overall approach for the proposed automation.
Towards Wide Learning: Experiments in Healthcare
In this paper, a Wide Learning architecture is proposed that attempts to automate the feature engineering portion of the machine learning (ML) pipeline.
