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Found 7 papers, 0 papers with code
Multi-Intent Detection in User Provided Annotations for Programming by Examples Systems
This can lead to multiple intents or ambiguity in the input and output samples.
Data Quality Toolkit: Automatic assessment of data quality and remediation for machine learning datasets
We attempt to re-look at the data quality issues in the context of building a machine learning pipeline and build a tool that can detect, explain and remediate issues in the data, and systematically and automatically capture all the changes applied to the data.
Comparison of Outlier Detection Techniques for Structured Data
An outlier is an observation or a data point that is far from rest of the data points in a given dataset or we can be said that an outlier is away from the center of mass of observations.
Circuit Complexity From Cosmological Islands
By studying the cosmological circuit complexity, Out-of-Time Ordered Correlators, and entanglement entropy of the modes of the squeezed state, in different parameter spaces, we conclude the non-universality of these measures.
High Energy Physics - Theory Disordered Systems and Neural Networks General Relativity and Quantum Cosmology Chaotic Dynamics Quantum Physics
The Generalized OTOC from Supersymmetric Quantum Mechanics: Study of Random Fluctuations from Eigenstate Representation of Correlation Functions
The concept of out-of-time-ordered correlation (OTOC) function is treated as a very strong theoretical probe of quantum randomness, using which one can study both chaotic and non-chaotic phenomena in the context of quantum statistical mechanics.
High Energy Physics - Theory Disordered Systems and Neural Networks General Relativity and Quantum Cosmology Chaotic Dynamics Quantum Physics
Small, Sparse, but Substantial: Techniques for Segmenting Small Agricultural Fields Using Sparse Ground Data
The next stage tackles under-segmentations using a combination of a novel ``cut-point'' based technique and localized second-level edge detection to obtain individual parcels.
Autonomous Ingress of a UAV through a window using Monocular Vision
The use of autonomous UAVs for surveillance purposes and other reconnaissance tasks is increasingly becoming popular and convenient. These tasks requires the ability to successfully ingress through the rectangular openings or windows of the target structure. In this paper, a method to robustly detect the window in the surrounding using basic image processing techniques and efficient distance measure, is proposed. Furthermore, a navigation scheme which incorporates this detection method for performing navigation task has also been proposed. The whole navigation task is performed and tested in the simulation environment
