765 citations · 1.5k across the 62 of their papers we have counts for
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Using Affect as a Communication Modality to Improve Human-Robot Communication in Robot-Assisted Search and Rescue Scenarios
Sami Alperen Akgun, Moojan Ghafurian, Mark Crowley +1
Emotions can provide a natural communication modality to complement the existing multi-modal capabilities of social robots, such as text and speech, in many domains. We conducted t…
Theoretical Connection between Locally Linear Embedding, Factor Analysis, and Probabilistic PCA
Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray +1
Locally Linear Embedding (LLE) is a nonlinear spectral dimensionality reduction and manifold learning method. It has two main steps which are linear reconstruction and linear embed…
On Manifold Hypothesis: Hypersurface Submanifold Embedding Using Osculating Hyperspheres
Benyamin Ghojogh, Fakhri Karray, Mark Crowley
Consider a set of data points in the Euclidean space . This set is called dataset in machine learning and data science. Manifold hypothesis states that the datase…
Spectral, Probabilistic, and Deep Metric Learning: Tutorial and Survey
Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray +1
This is a tutorial and survey paper on metric learning. Algorithms are divided into spectral, probabilistic, and deep metric learning. We first start with the definition of distanc…