3 citations · 3 across the 5 of their papers we have counts for
5 papers
Seed-Guided Semi-Supervised Clustering by A-Contrario Anomaly Detection
Nassir Mohammad
This paper introduces a semi-supervised clustering framework grounded in the statistical duality between grouping principles and anomaly detection. We address the challenge of robu…
A Computational Theory and Semi-Supervised Algorithm for Clustering
Nassir Mohammad
A computational theory for clustering and a semi-supervised clustering algorithm is presented. Clustering is defined to be the obtainment of groupings of data such that each group…
A Vision Inspired Neural Network for Unsupervised Anomaly Detection in Unordered Data
Nassir Mohammad
A fundamental problem in the field of unsupervised machine learning is the detection of anomalies corresponding to rare and unusual observations of interest; reasons include for th…
Anomaly Detection using Principles of Human Perception
Nassir Mohammad
In the fields of statistics and unsupervised machine learning a fundamental and well-studied problem is anomaly detection. Anomalies are difficult to define, yet many algorithms ha…
Colorization of Natural Images via L1 Optimization
Nassir Mohammad, Alexander Balinsky
Natural images in the colour space YUV have been observed to have a non-Gaussian, heavy tailed distribution (called 'sparse') when the filter G(U)(r) = U(r) - sum_{s \in N(r)} w{(Y…