Search Results for author: Amarjot Singh

Found 10 papers, 0 papers with code

Continual Learning using the SHDL Framework with Skewed Replay Distributions

no code implementations25 Sep 2019 Amarjot Singh, Jay McClelland

Continuous learning has been a long-standing challenge for neural networks as the repeated acquisition of information from non-uniform data distributions generally lead to catastrophic forgetting or interference.

Continual Learning

ScatterNet Hybrid Deep Learning (SHDL) Network For Object Classification

no code implementations30 Aug 2017 Amarjot Singh, Nick Kingsbury

The paper proposes the ScatterNet Hybrid Deep Learning (SHDL) network that extracts invariant and discriminative image representations for object recognition.

Classification General Classification +2

Disguised Face Identification (DFI) with Facial KeyPoints using Spatial Fusion Convolutional Network

no code implementations30 Aug 2017 Amarjot Singh, Devendra Patil, G Meghana Reddy, SN Omkar

Disguised face identification (DFI) is an extremely challenging problem due to the numerous variations that can be introduced using different disguises.

Classification Face Identification +2

Texture and Structure Incorporated ScatterNet Hybrid Deep Learning Network (TS-SHDL) For Brain Matter Segmentation

no code implementations30 Aug 2017 Amarjot Singh, Devamanyu Hazarika, Aniruddha Bhattacharya

Automation of brain matter segmentation from MR images is a challenging task due to the irregular boundaries between the grey and white matter regions.

Segmentation

Efficient Convolutional Network Learning using Parametric Log based Dual-Tree Wavelet ScatterNet

no code implementations30 Aug 2017 Amarjot Singh, Nick Kingsbury

The ScatterNet extracts edge based invariant representations that are used by the later layers of the CNN to learn high-level features.

Variance Based Moving K-Means Algorithm

no code implementations7 Apr 2017 Vibin Vijay, Raghunath Vp, Amarjot Singh, SN Omar

However, data clustering greatly relies on initialization of cluster centers that can result in large intra-cluster variance and dead centers, therefore leading to sub-optimal solutions.

Clustering

Multi-Resolution Dual-Tree Wavelet Scattering Network for Signal Classification

no code implementations10 Feb 2017 Amarjot Singh, Nick Kingsbury

This paper introduces a Deep Scattering network that utilizes Dual-Tree complex wavelets to extract translation invariant representations from an input signal.

Classification General Classification +1

Dual-Tree Wavelet Scattering Network with Parametric Log Transformation for Object Classification

no code implementations10 Feb 2017 Amarjot Singh, Nick Kingsbury

We introduce a ScatterNet that uses a parametric log transformation with Dual-Tree complex wavelets to extract translation invariant representations from a multi-resolution image.

Computational Efficiency General Classification +1

Cannot find the paper you are looking for? You can Submit a new open access paper.